Scinovex
article Open Access

Quantifying post-harvest losses among farmers in Punjab: evidence from village-level surveys near Chandigarh

International Journal of Research in Agronomy · 2026 · Vol. 9(4S) · pp. 481–490
Aditi VermaDurva BishtGurshaminder SinghNavjot Singh Gill

Abstract

Post-harvest losses pose a significant threat to sustainable agriculture as well as the income levels of farmers in Punjab. This paper provides field evidence on post-harvest losses in 9 villages, including Deh Kalan, Karimpur, Bhajheri, Dugri, Mehmodpur, Malan, Kalaundi, Kotli, and Dumna, around Chandigarh University. In all, 135 farmers were surveyed through the use of a questionnaire. Post-harvest losses amounted to 18.7% on average, comprising 12.4% in wheat harvests, 16.8% in rice and 26.3% in perishable vegetables. The village-wise analysis indicated the highest losses in Mehmodpur with 22.5% and the least losses in Deh Kalan with 14.2%. The main reasons for such losses are associated with a poor quality of storage facilities (31.6%), transport delay (24.8%), improper handling of harvested products (21.3%) and poor marketing channels (22.3%). Based on economic evaluation, the income of farmers from harvesting decreased by ₹12,500 per season, which is 19.2% of their net profits. The study emphasizes the necessity of enhancing the effectiveness of storage methods, supply chains and technologies for decreasing post-harvest losses.

Full Text

Tables and figures are in the full-text PDF.

Introduction

Punjab's economy largely depends on agriculture for food security, job creation, and rural development. Punjab is commonly known as "the granary of India" owing to its high yields of food staples like wheat and rice. Notwithstanding its high agricultural outputs, Punjab continues to experience inefficiencies within its post-harvest operations, leading to agricultural losses (Grover et al., 2014; Singh et al., 2020) [2, 4]. Post-harvest losses refer to quantitative and qualitative losses resulting from inefficient practices following crop harvest and prior to consumption. Post-harvest losses occur in the processes of harvesting, handling, storing, transporting, and marketing. Several studies point out that poor logistical systems and inefficient supply chains are major contributors to the loss of crops (Kachroo et al., 2025; Hu et al., 2024) [1, 15]. India's farmers face challenges concerning post-harvest crop losses due to various factors such as inadequate storage, inefficient supply chains, and market uncertainties. Improved supply chain optimization and market information will help mitigate these losses, increasing agricultural profitability (Kachroo et al., 2025; Hussain & Guha, 2023) [34] . Despite Punjab's advanced agricultural practices, there exist various obstacles to the efficient management of post-harvest activities because of a heavy dependence on outdated techniques and underdevelopment. The improper handling of crop residues, inadequate harvesting approaches, and farmers' lack of knowledge result in wastage and ecological damage (Singh et al., 2020; Zada et al., 2019) [5] . This challenge is exacerbated in rural villages where infrastructure and upto-date technologies are inaccessible. Farmers in such regions tend to use conventional storage options, which are highly prone to spoilage, pest attacks, and weather conditions. Modern storage facilities prove to be extremely effective in reducing losses and improving the outcomes of food security (Luo et al., 2022a; Adams et al., 2024) [16, 39]. The perishable nature of some products, including fruits and vegetables, makes them more susceptible to post-harvest losses because of their sensitivity to temperature changes and handling processes. Research into the management of horticultural products reveals that sorting, grading, and storing practices cause significant economic losses (Tanpure et al., 2024; Antuhu et al., 2024) [8, 23]. Punjab's economy largely depends on agriculture for food security, job creation, and rural development. Punjab is commonly known as "the granary of India" owing to its high yields of food staples like wheat and rice. Notwithstanding its high agricultural outputs, Punjab continues to experience inefficiencies within its post-harvest operations, leading to agricultural losses (Grover et al., 2014; Singh et al., 2020) [2,4] . Post-harvest losses refer to quantitative and qualitative losses resulting from inefficient practices following crop harvest and prior to consumption. Post-harvest losses occur in the processes of harvesting, handling, storing, transporting, and marketing. Several studies point out that poor logistical systems and inefficient supply chains are major contributors to the loss of crops (Kachroo et al., 2025; Hu et al., 2024) [1,15] . India's farmers face challenges concerning postharvest crop losses due to various factors such as inadequate storage, inefficient supply chains, and market uncertainties. Improved supply chain optimization and market information will help mitigate these losses, increasing agricultural profitability (Kachroo et al., 2025; Hussain & Guha, 2023) [34] . Despite Punjab's advanced agricultural practices, there exist various obstacles to the efficient management of post-harvest activities because of a heavy dependence on outdated techniques and underdevelopment. The improper handling of crop residues, inadequate harvesting approaches, and farmers' lack of knowledge result in wastage and ecological damage (Singh et al., 2020; Zada et al., 2019) [5] . This challenge is exacerbated in rural villages where infrastructure and up-to-date technologies are inaccessible. Farmers in such regions tend to use conventional storage options, which are highly prone to spoilage, pest attacks, and weather conditions. Modern storage facilities prove to be extremely effective in reducing losses and improving the outcomes of food security (Luo et al., 2022a; Adams et al., 2024) [16,39] . The perishable nature of some products, including fruits and vegetables, makes them more susceptible to post-harvest losses because of their sensitivity to temperature changes and handling processes. Research into the management of horticultural products reveals that sorting, grading, and storing practices cause significant economic losses (Tanpure et al., 2024; Antuhu et al., 2024) [8,23] [9,21,36] . Moreover, technological innovations such as zero-energy cooling chambers (ZECC), solar dryers, and advanced packaging technologies have been proven to contribute greatly to retaining the quality of crops and increasing their shelf life. The use of such innovations proves especially helpful in the case of small-scale farming (Mehmood et al., 2022; Akter et al., 2025) [18,27] . There is also another important aspect which should be taken into account when addressing post-harvest lossessocio-economic factors. Farmers' awareness and access to financial and institutional assistance will define whether the use of improved practices will be effective. Research demonstrates that socio-cultural factors are key to adopting new technologies (Mwinuka & Hyera, 2022; Shahu et al., 2023) [19,26] . Finally, climate variability plays an important role. Weather conditions such as heat stress, unstable rainfall patterns, and extreme weather can negatively impact crops at different stages and lead to increased harvest loss (Dong et al., 2026; Mavi, 1990) [7,40] . Although various studies have been conducted both nationally and internationally, there is no empirical evidence available at the micro level for studying the local circumstances of villages in Punjab. Existing literature uses aggregate information, failing to incorporate the local dynamics and variations in post-harvest losses (Acharya et al., 2023; Houssou et al., 2026) [35,37] . This paper attempts to conduct an empirical study based on the field survey of nine selected villages, namely Deh Kalan, Karimpur, Bhajheri, Dugri, Mehmodpur, Malan, Kalaundi, Kotli, and Dumna, situated near Chandigarh University. The aim of this study is to estimate the extent of post-harvest losses and their major causes

Importance of post-harvest loss issue in Punjab

Losses after harvesting have been posing a serious threat to sustainability and stability in agriculture in Punjab. Although there is a very high rate of productivity of basic crops like wheat and rice, a lot of produce is wasted because of poor management during storage, handling, and transport (Grover et al., 2014; Singh et al., 2020) [2,4] . This does not only affect the total amount of food available but is also likely to cause serious damage to the earnings of farmers and the country's food security (Kachroo et al., 2025; Hussain & Guha, 2023) [1,34] . There have been studies that have found that poor infrastructure in agriculture, including the lack of cold storage and scientific warehouses, has caused substantial losses in both quantity and quality (Luo et al., 2022a; Adams et al., 2024) [16,39] . Moreover, climate changes and heat stress conditions have also contributed to crop damage and loss of harvest after they have been collected from farms (Dong et al., 2026; Mavi, 1990) [7,40] . In addition, technological deficiencies and low knowledge among farmers about proper storage and transport techniques are causing severe problems in rural areas (Zada et al., 2019; Pant & Kumari, 2026) [5,9] .

Survey-based analysis in selected villages

The use of survey as a method of analyzing post-harvest problems is an extremely valuable tool because it allows one to obtain accurate information directly from farmers and to capture realtime data. Specifically, in the current research, field surveys using questionnaires were conducted among selected villages-Deh Kalan, Karimpur, Bhajheri, Dugri, Mehmodpur, Malan, Kalaundi, Kotli, and Dumna, which are located close to Chandigarh University. As was indicated earlier, such approaches help understand the local conditions related to agricultural processes, existing infrastructure, and losses at the micro-level (Acharya et al., 2023; Houssou et al., 2026) [35,37] . Using surveys as a methodology allows obtaining quantitative data on crops' yields, post-harvesting technologies employed, transportations utilized, and losses incurred, thus making it possible to estimate the existing problems related to post-harvest activities (Mandal, 2026; Ali et al., 2021) [3,17] . At the same time, the empirical data obtained through direct contact with the farmers also makes it easier to understand behavioral and other socio-economic aspects that influence post-harvesting practices (Mwinuka & Hyera, 2022; Shahu et al., 2023) [19,26] . Prior research indicates that field-based data plays a key role when developing interventions to optimize supply chains.

Objectives of the study

The fundamental goal of the current research study is the systematic evaluation of post-harvest losses in selected rural villages in the state of Punjab as well as the identification of the underlying reasons why such losses arise. To be more precise, it is intended to calculate the percentage of losses depending on the type of crop and the village where the losses have occurred based on empirical evidence obtained from surveys (Mandal, 2026; Hu et al., 2024) [15,17] . Moreover, the study will focus on evaluating the effect of storage, transport, and market availability on post-harvest efficiencies in rural Punjab (Kachroo et al., 2025; Hussain & Guha, 2023) [1,34] . Finally, another goal that should be reached within the framework of the study is the analysis of economic consequences of post-harvest losses for farmers and identification of potential measures needed to improve the situation by means of modern technological innovations and effective management techniques (Adams et al., 2024; Chatterjee et al., 2025) [39] . Additionally, losses increase the cost-to-return ratio, as production costs remain constant while output decreases. This negatively affects farmer profitability and economic stability. The hypothesis aims to establish a relationship between loss percentages and income reduction, highlighting the economic consequences of inefficiencies in the postharvest system.

Hypothesis

Conceptual Framework

The conceptual framework of the current study is to analyze the interdependence of the major factors contributing to post harvest losses and economic effects of these factors on the farmers in Punjab. The central dependent variable is post-harvest loss and the independent variables are considered to be storage infrastructure, the effectiveness of transportation infrastructure, the adoption of technology and the socio economic conditions. Past studies have highlighted that inefficiencies throughout the agricultural supply chain are a significant cause of losses in various points of the chain, thus, influencing the overall performance of the system (Kachroo et al., 2025; Hu et al., 2024; Hussain and Guha, 2023) [1,15,34] . The framework is based on the supply chain theory where emphasis is on integrated logistics, infrastructure, and flow of information with the aim of minimizing losses and enhancing productivity (Grover et al., 2014; Mishra et al., 2025) [2,33] . Storage infrastructure has been determined as a key determinant in the framework as it has a direct effect on the quality of crops after harvesting. Poor storage conditions, such as the absence of temperature-regulated conditions and scientific warehousing, have constantly been associated with higher spoilage rates and quantitative losses (Luo et al., 2022a; Adams et al., 2024) [16,39] . Empirical research shows that advanced storage systems can make food security much better and minimize household and community-level food wastage (Mehmood et al., 2022; Houssou et al., 2026) [18,35] . Thus, the framework assumes that there is a positive strong correlation between poor storage conditions and increased postharvest losses. Another critical element of the conceptual model is transportation efficiency because it defines the time-sensitive and riskfree transportation of agricultural produce to markets.

Figure 1 shows the conceptual framework used in this research paper for the data collection and analysis. [3,31] . Research has shown that losses are minimized and market reached more easily with better transportation systems and coordination of the supply chain (Hu et al., 2024; Hussain and Guha, 2023) [15,34] . Based on this, the framework includes transportation inefficiencies as one of the primary drivers of the post-harvest losses. The other important variable is technological adoption that affects post-harvest management outcome. Artificial intelligence, machine learning, and IoTbased monitoring systems provide the opportunity of real-time tracking, sorting, and maintaining agricultural produce (Pant and Kumari, 2026; Musa et al., 2023) [9,36] . More technologically sophisticated systems like automated sorting systems and intelligent storage systems have demonstrated the potential to decrease losses and enhance product quality (Amune et al., 2024; Akter et al., 2025) [21, 27] . The framework assumes that the relationship between technological adoption and post-harvest losses are negative such that an increase in adoption results in a decrease in losses. The framework also includes socio-economic and behavioral factors since they affect the decision-making and adoption of improved practices by the farmers. The factors of awareness degrees, availability of financial assets, and the attendance of systematic markets influence how much of the farmers can have effective post-harvest strategies (Zada et al., 2019; Mwinuka and Hyera, 2022) [5,19] . Studies indicate that socio-cultural forces and institutional encouragement have a great influence on the implementation of better storage and handling technologies (Shahu et al., 2023; Acharya et al., 2023) [26,37] . These indirectly affect post-harvest losses by determining the behaviour of farmers and the use of resources. Lastly, the framework provides a direct connection between post-harvest losses and economic performance, especially, farmer income and profitability. Losses also decrease the amount of marketing products, resulting in decreased revenues and increased economic exposure of farmers (Adams et al., 2024; Chatterjee et al., 2025) [39] . Also, environmental conditions like variability in climate and heat stress are quantified as moderating factors that may exacerbate losses in adverse conditions (Dong et al., 2026; Mavi, 1990) [7,40] . In general, the conceptual framework offers a complete framework through which the multi-dimensional factors influencing the post-harvest losses can be studied and how they can be used to sustain agricultural activities in Punjab.

Findings & Interpretations

An empirical analysis of the chosen villages, Deh Kalan, Karimpur, Bhajheri, Dugri, Mehmodpur, Malan, Kalaundi, Kotli and Dumna, around Chandigarh University, indicates that there is a quantifiable and uniform pattern of post-harvest losses in different classes of crops. The table 2 shows the Findings and Interpretation of Post-Harvest Losses Across Selected Villages. [17,35,37] . Causal factors analysis shows that poor storage infrastructure contributes 31.6 percent of total losses, and then there are transportation inefficiency, poor handling practice, and market access delays 24.8, 21.3 and 22.3 respectively. The average losses of farmers who used traditional storage systems were 21.9 but the average losses of farmers who used improved or semi-scientific storage systems was lower 13.6 showing an improvement margin of 8.3. Figure 3 shows the Causes of Post-Harvest Losses. [16,18,39] . The losses caused by transportation were estimated to be at a mean of 4.7 percent of every transaction cycle and the perishable crops had a loss of 7.9

percent as a result of waiting over 12 hours. Villages that were better connected via road like Deh Kalan and Kotli registered transportation losses of less than 3.5 percent and remote villages like Mehmodpur and Malan registered transportation losses of over 6.2 percent. These results indicate that logistical inefficiencies have a direct effect on product degradation and low market value, which aligns with previous studies highlighting the importance of supply chain coordination in reducing agricultural losses (Ali et [3,15,31] . Adoption of technology by farmers is still low with only 28.1 percent of the sampled farmers employing better post-harvest technologies like access to cold stores and sorting machines or simple monitoring devices. The average losses of 11.8 per cent by farmers who adopted these technologies, as compared to 20.6 per cent by non-adopters, represented a difference in losses of 8.8 per cent. Furthermore, farmers who applied better handling and sorting techniques earned a 14.2% higher price realization in the market than the farmers who employed conventional handling and sorting techniques. Such conclusions confirm the efficiency of technological interventions to minimize the losses and increase economic returns (Amune et al., 2024; Pant and Kumari, 2026; Musa et al., 2023) [9,21,36] . Economically, there is substantial evidence of a strong negative effect of post-harvest losses on the revenue generated by farmers. On average, each farmer lost a total income of 12,500 during each season due to₹ post-harvest losses, resulting in a decline in profitability of 19.2%. Farmers who recorded losses greater than 20% reported a decline in profitability that exceeded 18,000 in each₹ season. Also, the environment played a critical role, as losses increased by 3.6% when temperatures exceeded 35°C. This shows the combined effect of economics, technology, and the environment on postharvest results ( [25,33,40] .

Challenges and Limitations

Operational difficulties were faced in gathering data for the analysis in the selected villages located in the vicinity of Chandigarh University. One of the key challenges in the process of gathering information through questionnaires involved the subjectivity associated with obtaining self-reported answers about the amount of loss incurred by farmers after harvesting their crops. The farmers' estimations were based on their personal experiences and not accurate measurements, hence making it possible for inaccuracies to arise. Concerns related to data validity when using surveys in agriculture research have been reported in past studies due to the subjectivity of perception (Acharya et al., 2023; Mandal, 2026) [17,37] . Other difficulties included variations in literacy levels among respondents (Mwinuka & Hyera, 2022; Zada et al., 2019) [5,19] .

One more important limitation of the project relates to the geographical scope of the research. It should be mentioned that the research focused only on some specific villages in Punjab, including Deh Kalan, Karimpur, Bhajheri, Dugri, Mehmodpur, Malan, Kalaundi, Kotli, and Dumna. On the one hand, it allows getting detailed information about the state of affairs in this region. On the other hand, the obtained results can hardly be generalized for other areas due to differences in agro-climatic and socio-economic factors (Houssou et al., 2026; Adams et al., 2024) [35,39] . Different agricultural techniques, storage capacity, and infrastructure affect post-harvest activities significantly (Hu et al., 2024; Hussain & Guha, 2023) [15,34] . There were several limitations associated with quantitative data analysis in this regard, namely storage capacity, effectiveness of transportations, and use of new technologies, which are difficult to validate quantitatively in many instances. It is worth admitting that the information provided by the farmers could have been used to conduct more effective analysis, but there were no official records available in most cases (Kachroo et al., 2025; Bobadilla-Calderón et al., 2022) [1,31] . The problem in question correlates with previous studies in which similar gaps were identified (Ali et al., 2021; Grover et al., 2014) [2,3] . External and environmental conditions also presented another limitation when considering the possible sources of post-harvest losses. Factors such as temperature and humidity variations, as well as any unforeseen climatic conditions, were unable to be properly controlled or standardized. Such variables are well-known for their considerable impact on the rates of crop loss and deterioration (Dong et al., 2026; Mavi, 1990) [7,40] . Furthermore, the current study was also unable to use state-of-the-art real-time monitoring devices and experimental approaches to enhance validity and accuracy of the findings. Nevertheless, the findings of the present study offer an empirical basis for further research that will consider the usage of more sophisticated data collection tools (Pant & Kumari, 2026; Mishra et al., 2025) [9,33] . [16,39] . Moreover, transportation improvement, development of efficient transportation networks, creation of road links in the rural areas, and connection to markets would decrease transport-related delays and spoilage (Hu et al., 2024; Hussain & Guha, 2023) [15,34] . Digital agriculture innovations, such as advanced monitoring techniques, intelligent market solutions, and efficient logistics optimization, can increase the effectiveness of the management process even further ( [5,25] .

Government policy recommendations

Farmer awareness programs

The importance of building farmer awareness and capacity in improving post-harvest handling practices cannot be overstressed. According to the literature, one of the reasons that lead to inefficiency in post-harvest handling is poor awareness about scientific approaches in storing and handling produce, as well as technological improvements. It has been shown that training sessions and extension activities aimed at increasing knowledge about best practices such as sorting, packaging, grading, and cold storage can considerably contribute to the effective preservation of crops and increasing their market value (Mehmood et al., 2022; Amune et al., 2024) [18,21] . In addition, community-based activities aimed at increasing the awareness of low-cost solutions in post-harvest management are vital. Zero energy cooling units and solar dryers represent one of the most affordable solutions available to resource-poor farmers (Akter et al., 2025; Musa et al., 2023) [27,36] . Digital literacy can also be considered a priority, as using mobile apps dedicated to agriculture can help farmers make more effective decisions concerning marketing aspects, including pricing and timing (Kavinda et al., 2023; Pant & Kumari, 2026) [9,41] .

Future Outcomes

There will be an observable improvement in agriculture efficiency and farmer earnings due to improved post-harvest management approaches adopted in Punjab. Considering that the average loss at the moment is 18.7%, through the adoption of scientific storage techniques and optimal supply chain mechanisms, the losses could be reduced from [15,16,39] . In addition, through market intelligence systems, the prices realized by farmers could increase by 10.8% to 14.6%. [9,21,36] . Moreover, cost-effective innovations, such as zero energy cooling units and solar drying systems, are predicted to lower the losses in perishable crops by 11.6%-15.3% (Mehmood et al., 2022; Akter et al., 2025) [18,27] . Economically speaking, the decrease in post-harvest loss is estimated to produce a large economic gain for farmers. It is estimated that the average income loss of 12,500 per farmer ₹ for each season will decrease to 5,200-6,800 per season, and the result would be a recovery ₹ ₹ of 5,700-7,300 per farmer. This translates to a profit margin of between 13.8% to 18.6% ₹ ₹ increase in net profitability. Furthermore, infrastructure and awareness programs have also been projected to improve market participation levels by 17.4%, which would give farmers better price options. Environmental sustainability is also projected to improve because of adaptation measures aimed at reducing losses arising from climatic factors by 3.2%-4.7% above temperatures of 35°C (Dong et al., 2026; Mavi, 1990) [7,40] .

Conclusion

This investigation offers a thorough evaluation of post-harvest losses in selected villages in Punjab with a focus on how inefficient storage, transportation, and handling have affected the agricultural performance of the farmers and their incomes. It can be concluded that post-harvest losses continue being an important factor hindering the proper use of resources and achieving sustainable economic performance in the region. Differences in the post-harvest losses between different villages reflect the fact that local conditions play an important role in determining the magnitude of losses. It is further evident from the investigation that storage problems and ineffective logistics are the main causes of the crops deterioration while underdeveloped technology still hinders any attempts to improve post-harvest management. All of these factors contribute to reduction in the volume of marketable goods and adversely affect the profitability of farming activities. Improvements in the situation require the application of a variety of approaches, including the development of adequate infrastructure, introduction of technological innovations, and capacity building.

In general, addressing the problem of postharvest losses can be instrumental in enhancing agricultural efficiency and increasing the farmers' incomes. It will also be instrumental in improving food security.

References

  1. Kachroo MM, Fardous F, Rashid M, Gul A, Majid M, Majeed U. Market intelligence for supply chain optimization in Indian agriculture. In: Agriculture Branding and Market Intelligence: Insights for Sustainable Growth. 2025. p. 91-101.
  2. Grover DK, Singh JM, Singh J, Kumar S. Impact of emerging agribusiness establishments on potato marketing in Punjab. Indian Journal of Marketing. 2014;44(6):37-50.
  3. Ali A, Ghafoor A, Usman M, Usman M, Bashir MK, et al. Valuation of cost and returns of strawberry in Punjab, Pakistan. Pakistan Journal of Agricultural Sciences. 2021;58(1):283-290.
  4. Singh R, Yadav DB, Ravisankar N, Yadav A, Singh H. Crop residue management in rice-wheat cropping system for resource conservation and environmental protection in north-western India. Environment, Development and Sustainability. 2020;22(5):3871-3896.
  5. Zada AMW, Mohapatra L, Anand A. Analysis of awareness level of agricultural insurance among the stakeholders in Punjab. Economic Affairs (New Delhi). 2019;64(3):503512.
  6. Kashyap AS, Thakur N. Problems and prospects of lychee cultivation in India. In: Lychee Disease Management. 2017. p. 139-166.
  7. Mavi HS. Weather advisory service for agriculture in Punjab (India). In: Economic and social benefits of meteorological and hydrological services. Proc., conference, Geneva. 1990. p. 426-429.
  8. Tanpure PS, Johar V, Salunkhe VN, Singh V, Thorat D. Physical and biochemical response of red and white dragon fruit under different temperature. Environment Conservation Journal. 2024;25(4):979-985.
  9. Pant M, Kumari A. Evolution of agriculture technology: Assimilation of biotechnology and food technology for smart and sustainable agriculture. In: Digital Twin Technology for Sustainable Agriculture: Applications, Implementation and Future Trends. 2026. p. 195-217.
  10. Singh Chouhan S, Saxena E, Shukla A, Kumar Patel R, Pratap Singh U. Optimizing YOLO-based models for realtime guava detection with probabilistic fused Wiener filterenhanced feature fusion. Applied Fruit Science. 2025;67(5):383.
  11. Bisht VK, Uniyal RC, Sharma SM. Reasons for rejection of herbal raw material traded in Indian market and its possible solution. Journal of Applied Research on Medicinal and Aromatic Plants. 2022;26:100360.
  12. Rathinavel S, Dhananchezhiyan P, Vivek P, Gitanjali J, Kavitha R, et al. Advancements in rice harvest machinery towards enhanced efficiency in modern agriculture. Plant Science Today. 2025;12:1-10.
  13. Lourduraj N, Irulandi B. Global perspectives on socioeconomic dynamics, marketing practices and challenges in jasmine trade: Evidence from a prominent Indian flower market. Plant Science Today. 2025;12(2).
  14. Stuthmann LE, Achuthan R, Pribbernow M, Du HT, Springer K, et al. Improving the nutritional value of edible Caulerpa lentillifera (Chlorophyta) using high light intensities. A realistic tool for sea grape farmers. Algal Research. 2022;66:102785.
  15. Hu N, Hu Y, Luo Y, Wu L. The effect of high-standard farmland construction policy on grain harvest losses in China. Land. 2024;13(7):1058.
  16. Luo Y, Huang D, Miao H, Wu L, Zhu J. Impact of advanced storage facilities on households' maize storage losses and food security in China. Environment, Development and Sustainability. 2022;24(1):221-237.
  17. Mandal AK. Quantitative post-harvest loss of Pangasius hypophthalmus (Pangas) in southern Bangladesh. Aquaculture International. 2026;34(4):108.
  18. Mehmood Z, Raza A, Ahmed T, Irshad MA, Khan M. Agricultural post-harvest sustainability through the development of low-cost zero energy cooling chambers (ZECC) -A case study of tomatoes. Journal of Global Innovations in Agricultural Sciences. 2022;10(3):159-164.
  19. Mwinuka L, Hyera EO. Effect of socio-cultural factors on gendered decision-making in the adoption of improved maize storage technologies. Cogent Food and Agriculture. 2022;8(1):2132849.
  20. Krishna TPA, Maharajan T, Ceasar SA. Application of CRISPR/Cas9 genome editing system to reduce the pre-and post-harvest yield losses in cereals. Open Biotechnology Journal. 2022;16(1):e187407072205190.
  21. Amune A, Shinde S, Samargade A, Suryawanshi S, Suryawanshi S, et al. Tomato TriSort: Smart sorting system for size, color, and pest detection. In: 4th International Conference on Sustainable Expert Systems, ICSES 2024 - Proceedings. 2024. p. 539-545.
  22. Singh P, Kumar R, Mourya D, Kumar D. Mass production techniques of entomopathogenic fungi and their biological application for insect pest management. In: Recent Trends in Plant Protection. 2024. p. 109-118.
  23. Antuhu YL, Muanpuii CVL, Maisnam R, Kumari A, LópezMenchero JR, et al. Assessing the efficacy of essential oil fumigation in mitigating Botrytis cinerea infection in cherry tomato. BIO Web of Conferences. 2024;110:02008.
  24. Luo Y, Wang HR, Miao HM, Huang D, Han Y, et al. Obesity and household food waste in rural China: An empirical analysis based on the survey data of 1562 households. Journal of Natural Resources. 2022;37(10):2559-2571.
  25. Sharma A, Singh A, Rajput P, Minkina T, Mandzhieva S, et al. Revolutionizing agricultural sustainability and food security and management to achieve sdgs goals via nanotechnology. In: Nanotechnology Applications and Innovations for Improved Soil Health. 2024. p. 276-288.
  26. Shahu E, Hoxha A, Zhllima E, Imami D, Gjika I. Factors influencing farmers' willingness to participate in Farm to School programmes -The case of Albania. Studies in Agricultural Economics. 2023;125(1):24-36.
  27. Akter T, Kabir M, Sarker TR, Saha BK, Saha CK. Performance and nutrient quality evaluation of a natural convection solar dryer for drying pineapple. Journal of Food Processing and Preservation. 2025;2025(1):2205579.
  28. Reyes AMD, Lorzano DKA, Madrigal JFS, Purio MAC. UV-based computer vision system for early detection and segregation of mango anthracnose disease. In: 2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICE2023. 2023.
  29. Nigam R, Bhattacharya BK, Pandya MR. Satellite agromet products and their adaptation for advisory services to Indian farming community. Journal of Agrometeorology. 2023;25(1):42-50.
  30. Otieno SJ, Nzuma MJ, Ritho CN, Muriithi BW. Impact of adoption of Integrated Pest Management practices on the control of fruit fly infestation among smallholder mango farmers in Kenya. International Journal of Pest Management. 2025. Advance online publication.
  31. Bobadilla-Calderón J, Martinez-Flores C, León-Chavarri C. Implementation of integrated autonomous maintenance and standard work to improve the productivity in post-harvest production: Case study of a Peruvian coffee farm. In: Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology. 2022.
  32. West Bengal, India. Indian Journal of Fisheries. 2025;72(2):133-138.
  33. Mishra H, Mishra R, Olayinka OT, Ghaib AA, Raza MY, et al. The role of digital agriculture in mitigating climate change and ensuring food security: An overview. In: Advances in Global Change Research. 2025. Vol. 82, p. 287-312.
  34. Hussain MA, Guha P. Role of farm infrastructure in agribusiness during a crisis: Insights from rural Assam, India. Asia-Pacific Journal of Regional Science. 2023;7(4):1035-1054.
  35. Houssou PAF, Hotegni AB, Dansou V, Zannou H, Stathers T. Cowpea postharvest losses under smallholder farmer management in Benin: Extent, causes and opportunities. Journal of Stored Products Research. 2026;116:102933.
  36. Musa MK, Abdulsalam A, Haruna UA, Zakariya F, Okon II, et al. Exploring the potential of artificial intelligence to boost Africa's food security. In: Advances in Food Security and Sustainability. 2023. Vol. 8, p. 267-286.
  37. Acharya Y, Upadhyaya N, Sapkota S. Socioeconomic assessment of mandarin postharvest loss: A case of Gandaki Province, Nepal. Research on World Agricultural Economy. 2023;4(1):1-9.
  38. Bhatt DS, Chawla SL, Patil S, Chaudhari P. Effect of edible dyes on value addition and post-harvest life of tuberose spikes. Journal of Horticultural Sciences. 2023;18(2).
  39. Adams F, Donkor E, Quaye J, Jantuah A, Etuah S. Sustainable maize storage technology adoption in Ghana: Implications for postharvest losses, farm income, and income inequality. Food and Energy Security. 2024;13(5):e70011.
  40. Dong Z, Xu Z, Luo Y. Heat stress increases food loss during harvest: Empirical evidence from China. Journal of Stored Products Research. 2026;117:103019.
  41. Kavinda GHM, Dissanayake DD, Nanayakkara KAKK, Swrnakantha NHPRS, Liyanagolla MNVK, et al. Musa Base -Mobile application for banana farmers to minimize the challenges in banana production during the pre-harvest and post-harvest period. In: Proceedings of the 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2023. 2023.
Citations
0
FWCI
0.00
field-weighted impact
References
0
Percentile
24%
vs. same field & year
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.