Impact study of smartphone agriculture applications on farmers

Introduction

The agricultural sector in India is undergoing a significant transformation, driven by the combination of Information and Communication Technology (ICT). Government initiatives like 'Digital India' have catalyzed the development and dissemination of smartphone-based agro-applications, which promise to deliver timely, cost-effective information to farmers' fingertips. These technologies have the potential to revolutionize traditional extension services by providing critical data on weather forecasts, market prices, pest management, and best practices, thereby reducing information asymmetries and transaction costs (Aker, 2011; Mittal, 2016) [1,9] . However, the adoption and realized impact of these digital tools are not uniform. They are mediated by a complex interplay of socio-economic factors, including landholding size, farming experience, education, and social capital (Feder et al., 1985; Rogers, 2003) [4,11] . In a diverse agrarian landscape, understanding how different categories of farmers perceive and benefit from these technologies is crucial for designing inclusive policies. This is particularly relevant in regions like the Vidarbha area of Maharashtra, where agricultural livelihoods are often insecure and access to reliable information is a key determinant of farm profitability and sustainability. While existing literature has acknowledged the potential of ICT in agriculture, there is a need for empirical studies that quantify the perceived shift in information access before and after the adoption of smartphone applications. This study addresses this gap by focusing on the Wardha district of Maharashtra. It seeks to profile the socio-economic characteristics of local farmers and conduct a comparative assessment of the impact of smartphone agro-apps on their access to market information. By analyzing these changes across different farmer classification, this research aims to provide actionable insights for extension agencies, policymakers, and technology developers to enhance the effectiveness and equity of digital agricultural services.

Methodology Overview

This study was conducted in the Wardha district of Maharashtra State, India, encompassing five key agricultural blocks (talukas): Wardha, Selu, Deoli, Hinganghat, and Samudrapur. A multi-stage random sampling technique was www.extensionjournal.com employed to select 300 farmers as respondents. Primary data were gathered through personal interviews using a pre-tested, structured questionnaire. The analysis relied on descriptive statistics, including frequency and percentage distributions, to profile the respondents. A core feature of the methodology was the comparative assessment of the perceived impact of agricultural information before and after the adoption of smartphone applications, facilitating a clear analysis of change.

Literature Review

The integration of Information and Communication Technology (ICT) into agriculture represents a significant shift in knowledge dissemination. Research establishes that mobile phones, and increasingly smartphones, provide a costeffective platform for delivering timely information on markets, pests, and farming techniques, reducing information search costs for farmers (Aker, 2011) [1] . Adoption of such technologies is not uniform and is influenced by key socio-economic variables. Landholding size is a critical determinant, with small and marginal farmers often facing adoption barriers related to resources and risk, while larger farmers are typically earlier adopters (Feder et al., 1985) [4] . Farming experience also shapes adoption, where experienced farmers may rely on traditional knowledge, and newer farmers may be more open to innovation but lack contextual understanding (Rogers, 2003) [11] . Furthermore, a farmer's existing contact with formal extension services moderates technology use, with apps serving as either a complementary tool or a primary information source (Glendenning et al., 2010) [6] . In the Indian situation, initiatives like Digital India have stimulate the growth of agricultural apps. However, challenges such as digital literacy, local language content, and sustainable engagement persist (Mittal, 2016; Fu & Akter, 2016) [9,5] . Within Maharashtra's Vidarbha region, where Wardha is located, accessible information is crucial for livelihood security. This study addresses a gap by providing a detailed analysis of how smartphone agro-apps impact different farmer typologies, defined by landholding, experience, and extension contact within this specific socioagrarian setting.

Methodology Study Area

The research was conducted across all five talukas of Wardha district to ensure representation of its agrarian diversity.

Data Collection and Variables

Data were collected via structured interview schedule designed to capture Socio-Economic Profile-Landholding size, farming experience, and a score for extension contact.

Impact Assessment

A set of Likert-scale questions measured the perceived quality, accessibility, timeliness, and usefulness of agricultural information. Composite impact scores were calculated separately for the period before and after smart phone app adoption.

Data Analysis

The data were analyzed using descriptive statistics (frequency, percentage, mean). The results are presented in tabular form to profile the respondents and to clearly show the comparative shift in impact scores before and after adoption. Categorization of all scores into Low, Medium, and High facilitated interpretation of trends and distributions. The data from table no. 2 indicates that the majority of respondents (74%) are smallholder farmers, falling into the "Small" and "Semi-medium" categories, Marginal Farmers (≤1 ha) at only 6%, Medium landholding (4.01-10.00 ha) A notable minority at 15.67%, Big Landholders (≥10.01 ha) a very small elite segment at 4.33%. As per the analysis of Table 5 Distribution of Respondents According to the Impact of Smartphone agro Applications on their Market Information 61% of respondents shows medium impact, 25% of respondents shows low impact and 14% of respondents shows high impact.

Education

Landholding

Social participation

Results

The analysis of data collected from 300 respondents in Wardha district yielded the following key findings regarding their socio-economic profile and the perceived impact of smartphone agro-applications.

Socio-Economic Profile of Respondents

The educational distribution indicates that a substantial portion of the farming community is educated, with 32.92% having attained college level education and another 28.97% completing high school. However, a combined 32.5% of respondents had only primary or middle school education, and 5.61% remained illiterate, suggesting that digital literacy and the comprehension of app-based content could be potential barriers for a significant minority.

Regarding landholding the data reveals a landscape dominated by smallholders. The majority of farmers (74%) operate on holdings of up to 4 hectares, falling into the 'Small' (38.00%) and 'Semi-medium' (36.00%) categories. Marginal farmers constituted only 6.00%, while large landholders (4.33%) represented small elite. This distribution underscores the importance of tailoring information and technology to the specific needs and constraints of smallholder farming systems. Social participation was found to be markedly low, with 51.67% of farmers falling into the 'low' participation category. This suggests limited engagement with formal and informal community organizations, which are often crucial channels for knowledge sharing and collective action. Only 15.33% of respondents exhibited high social participation, highlighting a potential disconnect between individual farmers and traditional extension networks.

Comparative Impact of Smartphone Applications on Market Information

The central part of this study was to measure the perceived shift in the impact of market information following the adoption of smartphone applications. Table 4 presents this comparative analysis. The most significant change was observed in the 'Low Impact' category. Before adoption, 16.67% of farmers felt the market information they received had a low impact. After adopting smartphone apps, this proportion was more than halved to just 8.00%. This reduction was accompanied by a notable expansion in the 'Medium Impact' category, which grew from 70.00% to 77.67%. The proportion of farmers in the 'High Impact' category remained relatively stable, showing only a marginal increase from 13.33% to 14.33%. This shift indicates that smartphone applications have been effective in elevating farmers from a state of poor information access to a reasonable level of benefit. The technology appears to be successfully broadening access to basic market intelligence, moving a large segment of the population out of the lowest impact bracket. However, the near-static nature of the 'High Impact' category suggests that while apps provide a significant upgrade for the majority, additional factors-such as higher risk-bearing capacity, larger landholdings, or stronger social networks-may be necessary for farmers to leverage this information into a 'high' level of perceived impact.

Further analysis of the post-adoption period alone confirms this trend. A clear majority of respondents (61.00%) perceived a medium impact of smartphone apps on their market information. A quarter (25.00%) still reported a low impact, while only 14.00% achieved a high impact. This distribution reinforces the conclusion that while smartphone apps are a powerful tool for improving information access for the average farmer, they are not a universal remedy. The persistent 'low impact' group likely faces barriers related to digital literacy, language, or the relevance of the information to their specific farm context.

Conclusion

This study provides empirical evidence that the adoption of smartphone agro-applications has had a solid and positive impact on the access to and perceived quality of market information for farmers in the Wardha district. The findings www.extensionjournal.com demonstrate a clear and positive shift in impact scores postadoption, with the technology successfully moving a significant portion of farmers out of the 'low impact' category. This underscores the value of ICT as a complementary tool to traditional extension services, capable of delivering timely information to a wide audience efficiently. However, the research also illuminates the persistent influence of socio-economic stratification. The agrarian landscape of Wardha is characterized by smallholder dominance and low social participation. While smart phone agro apps have improved the baseline for many, they have not dramatically increased the proportion of farmers achieving a 'high' level of impact. This suggests that the benefits of digital technology are not automatic and can be constrained by factors such as farm size, which limits the scale at which information can be applied, and low social capital, which can hinder collaborative learning and collective bargaining.

References

1. Aker JC. Dial "A" for agriculture: A review of information and communication technologies for agricultural extension in developing countries. Agric Econ. 2011;42(6):631-647.
2. Baumüller H. The little we know: An exploratory literature review on the utility of mobile phone-enabled services for smallholder farmers. J Int Dev. 2018.
3. Birthal PS, Joshi PK, Roy D. Farmers' choice of market channels and producer prices in India: Implications for food policy. Washington (DC): International Food Policy Research Institute; 2013.
4. Feder G, Just RE, Zilberman D. Adoption of agricultural innovations in developing countries: A survey. Econ Dev Cult Change. 1985;33(2):255-298.
5. Fu X, Akter S. The impact of mobile phone technology on agricultural extension services delivery: Evidence from India. J Dev Stud. 2016;52(11):1561-1576.
6. Glendenning CJ, Babu S, Asenso-Okyere K. Review of agricultural extension in India: Are farmers' information needs being met? IFPRI Discussion Paper No. 01048. Washington (DC): International Food Policy Research Institute; 2010.
7. Jaiswal M, Singh A, Singh B, Singh K. Assessment of the usefulness, applicability and impact of Kisan Mobile Advisory Services (KMAS) by the farmers in Burhanpur district of Madhya Pradesh. Indian J Ext Educ. 2018;54(3):31-36.
8. Manjuprakash HP, Sriram N. Farmers' perceived effectiveness of information and communication technology (ICT) tools in Karnataka, India. Int J Curr Microbiol Appl Sci. 2020;9(6):3545-3550.
9. Mittal S, Mehar M. Socio-economic factors affecting adoption of modern information and communication technology by farmers in India: Analysis using multivariate probit model. J Agric Educ Ext. 2016;22(2):199-212.
10. Nagesh NS, Saravanan R. Impact of ICTs on agriculture growth and development: Case studies from Karnataka region. Discussion Paper No. 9. Hyderabad: MANAGECentre for Agricultural Extension Innovations, Reforms and Agripreneurship, National Institute for Agricultural Extension Management; 2019.
11. Rogers EM. Diffusion of innovations. 5 th Ed. New York: Free Press; 2003.
12. Rudroju V, Angadi JG. Awareness, accessibility and utilisation pattern of information and communication technology (ICT) projects by farmers of Belgaum district. Karnataka J Agric Sci. 2013;26(3):460.
13. Fu X, Akter S. The impact of mobile phone technology on agricultural extension services delivery: Evidence from India. J Dev Stud. 2019;52(11):1561-1576.