Scinovex
article Open Access

Role of agriculture drones in India for enhancing efficiency and potentials using nano fertilizers for the benefits of farmers: A case study

International Journal of Advanced Biochemistry Research · 2026 · Vol. 10(1S) · pp. 291–295

Abstract

In India, agricultural drones are increasingly being adopted as precision farming tools that enhance efficiency and sustainability by enabling uniform, site-specific application of nano-fertilizers, reducing input wastage, labor dependency, and production costs, while improving crop health and productivity. Agricultural drones, a class of small unmanned aerial vehicles (UAVs), are effective tools in crop cultivation for fertilizer and pesticide application, crop monitoring, and real-time data acquisition. Their high operational speed ensures rapid and uniform field coverage, with minimal human exposure to agrochemicals. Nano-fertilizers, owing to their nano-scale particle size and high surface area, improve nutrient absorption, photosynthetic efficiency, and metabolic activity in plants. In the present case study, drone-assisted application of nano-fertilizers significantly outperformed conventional farmer practices, with the combined use of recommended basal fertilizers and foliar nano urea (T₂) resulting in higher plant height, leaf area, stem girth, and fresh and dry biomass, indicating improved nutrient uptake and growth efficiency in crops, while the integration of nano DAP with nano urea (T₃) further enhanced phosphorus use efficiency and vegetative development. Although the cob number remained unchanged during the observation period, increased biomass under nano-fertilizer treatments suggests higher yield potential at later growth stages. Drone-based spraying enabled precise and timely nutrient delivery, reducing fertilizer use by approximately 20-40%, achieving significant savings in labour and operational costs, and lowering chemical exposure risks. The technology also improved application efficiency by covering about one ha in 20 minutes using nearly 25 Liters per hectare of water, thereby reducing water consumption, input losses, and cost per acre.Overall, drone-based nano-fertilizer application proved to be a cost-effective, resource-efficient, and environmentally sustainable approach for precision crop production, particularly benefiting small and marginal farmers.

Full Text

Tables and figures are in the full-text PDF.

Introduction

The present case study is based on a project titled "Demonstration of Agriculture Drones to Create Awareness and Optimize the Resources for the Benefit of Farmers," implemented atKrishi Vigyan Kendra (KVK), Ranga Reddy, under ICAR-Central Research Institute for Dryland Agriculture (CRIDA), Hyderabad, Telangana, with financial support fromM/s Indian Farmers Fertiliser Cooperative Limited (IFFCO), New Delhi. The project was conceptualized to address the limitations of traditional input application methods and to demonstrate the practical effectiveness of drone-based technologies integrated with nanofertilizers under real field conditions. Field demonstrations were conducted across different villages of Ranga Reddy district during the Kharif and Rabi seasons of 2023-2025, covering a total area of 500 acres. The study involved multi-location demonstrations at three locations on major crops, including paddy (175 acres), cotton (175 acres), maize (100 acres), and vegetable crops (50 acres). Dronebased spraying was systematically compared with conventional power sprayer application to assess differences in operational efficiency, crop performance, and input utilization.

Comprehensive observations were recorded on crop growth parameters, pest and disease incidence, crop yield, quantity of fertilizers and pesticides used per acre, and cost of spraying per acre. The experiment comprised four treatments (T₁, T₂, T₃, and T₄) representing different fertilizer compositions and drone-based application strategies, with a specific focus on evaluating nano-fertilizer performance. The rapid advancement of agricultural drone technology has led to its increasing integration into both modern and conventional farming systems. Continuous improvements in unmanned aerial vehicle (UAV) design, flight control systems, and sensor integration have enabled agricultural drones to perform diverse farm operations with high precision and reliability (Yallappa et al., 2024) [24] . Recent developments in small quadrotor UAVs equipped with inertial measurement units (IMUs) and sensor-based control systems have enhanced flight stability and operational accuracy, expanding their application in crop monitoring, field surveillance, irrigation management, and precision input application. The adoption of drones allows farmers and trained operators to conduct timely and site-specific field operations, reducing dependence on manual labour and conventional machinery, which is critical in the context of rising food demand, labour shortages, and climate-induced production challenges (Makam et al., 2024) [11] . Among various applications, drone-based spraying has gained prominence due to its ability to ensure uniform and precise application of fertilizers and crop protection chemicals while minimizing human exposure to agrochemicals, reducing water use, saving time, and improving operational efficiency (Komatineni et al., 2024) [8] . In the present study, the agricultural drone operated at a rotor speed of 5000-6000 rpm under fully loaded conditions and 1800-2000 rpm with an empty tank, powered by a 24,000 mAh lithium battery (AC-DC), and was deployed under standardized operating conditions in accordance with ISO and BSO guidelines, with wind speed below 3 m s⁻¹, ambient temperature ranging from 15 to 35 °C, and relative humidity between 40 and 70%.Precise input delivery reduces wastage, chemical runoff, and environmental contamination, thereby enhancing crop productivity and land-use efficiency (Kumar et al., 2021; Chandak et al., 2025) [10,4] . In parallel, nano-fertilizers such as nano-urea (liquid) and Nano (Liquid) DAP have emerged as efficient alternatives to conventional fertilizers due to their nanoscale particle size, high surface area, and superior nutrient use efficiency (Gupta et al., 2025; Gao et al., 2024) [12,13] . Nano-urea facilitates controlled nitrogen release through enhanced foliar absorption, improving photosynthetic efficiency, crop growth, and stress tolerance, while reducing nitrogen losses. Similarly, Nano DAP, notified under the Fertilizer Control Order (FCO, 1985) in 2023, enhances nitrogen and phosphorus availability through efficient penetration and assimilation, leading to improved crop growth, yield, and quality with reduced environmental losses (Samui et al., 2022; Siatwiinda et al., 2021; Sahni et al., 2025) [17,18,16] . The integration of agricultural drones with nano-fertilizers represents an effective precision nutrient management strategy, ensuring uniform distribution, optimal dosage, and timely application synchronized with crop growth stages (Reddy et al., 2022; Gatkal et al., 2025) [15,6] . This approach improves nutrient use efficiency, lowers input costs, and minimizes environmental pollution, supporting sustainable and climate-resilient farming systems (Ramesh et al., 2024) [14] . Recognizing the potential of drone technology in agriculture, the Government of India is actively facilitating its adoption through several initiatives. The NAMO Drone Didi Scheme aims to empower 15,000 women's self-help groups (SHGs) by providing an 80% subsidy (up to ₹8 lakhs) to offer drone rental services to local farmers. The Sub-Mission on Agricultural Mechanization (SMAM) provides a 100% subsidy to research institutions and a 40-50% subsidy to individual farmers for drone procurement. Additionally, Custom Hiring Centers (CHCs) enable farmers, particularly small and marginal ones, to access drones on a rental basis, ensuring inclusive dissemination of this technology (Srivastava et al., 2019; Bhat et al., 2024) [19, 2] . In this context, the present case study aims to generate scientific evidence and practical insights into the role of agricultural drones combined with nano-fertilizers in enhancing input-use efficiency, reducing labour dependency, improving economic returns, and accelerating the adoption of precision agriculture technologies in Indian agriculture.

Objectives of the study 1. To conduct drone demonstrations to showcase the manual fertilizer application to drone-assisted nano fertilizer spraying in crops. 2. To evaluate the effectiveness and efficiency of different drone spraying operations on crop productivity. 3. To raise awareness among farmers about the potential of drone technologies in agriculture.

Transition from manual fertilizer application to droneassisted nano fertilizer spraying in crops. The drone was equipped with precision spraying nozzles and automated flight control systems to ensure uniform application and accurate targeting of agricultural inputs.

Drone Replications and Experimental Design

Drone treatments were conducted over a period of three months in the adopted villages of Rangareddy district and at theCRIDA KVK. Multiple replications were carried out to assess the consistency and effectiveness of drone-based interventions across different crop growth stages.

Fertilizer Application Using Drones

For drone-based fertilizer application, IFFCO nano fertilizers were used. The fertilizers were applied as foliar sprays using the drone, following recommended dosages. The details of fertilizer quantity and spray volume per acre are presented in Table 1.

Improved Crop Management

Drones equipped with high-resolution cameras and multispectral sensors can capture detailed images of fields, providing valuable information about crop growth, nutrient deficiencies, and disease outbreaks. This allows farmers to take targeted action, such as applying fertilizers or pesticides only where needed, improving efficiency and minimizing environmental impact (Symeonakiet al., 2020).

Cost-Effective and Time-Saving

Drones significantly reduce the time and labor required for various agricultural tasks. For instance, aerial spraying of fertilizers and pesticides takes a fraction of the time compared to manual or tractor-based spraying. This reduces labor costs and increases efficiency, especially in regions with labor shortages or high labor costs (Komatineniet al., 2024) [8] .

Improved Irrigation Management

Water scarcity is one of the most pressing issues faced by Indian farmers. Drones can be equipped with thermal sensors to assess soil moisture levels and identify areas that require irrigation. This allows for more efficient use of water, reducing wastage and improving water management practices, which is crucial for sustainability in the face of climate change (Berni et al., 2009) [1] .

Increased Yields and Reduced Input Costs

By enabling more precise application of inputs such as fertilizers, pesticides, and water, drones help reduce costs associated with overuse of these inputs. This not only reduces the environmental footprint but also increases crop yields, as plants receive the right amount of nutrients and care at the right time (Makam et al., 2024) [24] .

Monitoring of Large Areas

India's agricultural landscape is vast, and managing large fields can be a logistical challenge. Drones can quickly cover large areas, providing a bird's-eye view that allows farmers to assess their fields comprehensively. This can be especially beneficial for large-scale farms or cooperatives, as drones provide real-time updates and insights without the need for ground-based inspections (Ramesh et al., 2024; Makam et al., 2024) [14,24] .

The Role and Potential Benefits of Agricultural Drones

Agricultural drones in India will serve as a transformative force for small and large-scale farmers, especially when combined with nano-fertilizers to optimize nutrient delivery and crop yields. This synergy will address historical challenges such as labor shortages, uneven chemical application, and significant resource wastage.

Drones offer key advancements in precision agriculture

Precision Spraying: Drones deliver fertilizers with pinpoint accuracy, reducing overall chemical usage by 20-50% (Kumar et al., 2023) [9] .

Time Efficiency: Drones can cover an area of 10 acres in under an hour-a task that typically takes up to two days for manual labourers (Srivastava et al., 2019) [19] .

Water Conservation: Drone-based spraying reduces water consumption by 80-90%, requiring only 5-10 liters per acre compared to the 100 liters typically needed with traditional methods (Berni et al., 2009) [1] .

Health and Safety: Automating the spraying process reduces direct human exposure to hazardous chemicals, decreasing pesticide-related illnesses among the rural workforce.

The Efficiency of Nano Fertilizers in Drone Systems

Nano fertilizers (e.g., Nano Urea, Nano DAP) are specifically designed for efficient absorption at the cellular level:

Higher Absorption Rate: In an experiment conducted in 2023-24 and 2024-25 in the adopted villages of KVK Ranga

Reddy in Telangana, it was found that Nano Urea sprayed by drones increased nitrogen absorption efficiency from ~50% (manual) to over 80% (Castaldo et al., 2023) [3] .

Increased Productivity: Field trials have demonstrated that the use of nano fertilizers in crops such as rice, maize, cotton and tomatoes increases average yields by 8-25% (Castaldo 2023) [3] .

Cost Savings: A 500 ml bottle of Nano Urea, priced at approximately ₹240, serves as an alternative to a traditional 45 kg bag of urea priced at ₹267, while also reducing transportation and storage costs (Yallappa et al., 2024) [24] .

Problems and Challenges faced with agricultural drones High Initial Investment and Maintenance Costs

One of the primary challenges of adopting drone technology in Indian agriculture is the high initial investment required to purchase drones and related equipment. The cost of drones equipped with advanced sensors and cameras can range from tens of thousands to several lakhs of rupees, making them unaffordable for small and marginal farmers. Additionally, maintenance and operational costs, including pilot training and repairs, can further strain farmers' budgets (Jain et al., 2023; Gatkalet al., 2025) [7,6] .

Limited Awareness and Knowledge

While drones hold significant potential, the awareness and knowledge about drone technology among Indian farmers remain limited. Most farmers are not familiar with how drones can benefit their crops or how to operate them effectively. The lack of technical skills and training among farmers is a major barrier to widespread adoption (Wonde et al., 2022) [23] .

Regulatory and Legal Issues

The use of drones in agriculture in India is subject to regulatory oversight by the Directorate General of Civil Aviation (DGCA). As of now, drone use in India is heavily regulated, with requirements for drone pilots to obtain licenses and adhere to specific guidelines regarding altitude, no-fly zones, and airspace management. The regulatory framework for agricultural drones is still evolving, and the complexity of these regulations can create barriers to entry for farmers (Srivastava et al., 2019; Bhat et al., 2024) [19,2] .

Connectivity and Infrastructure Limitations

India's rural areas often face challenges in terms of internet connectivity and infrastructure, which are crucial for the operation of drones (Song et al., 2024) [20] . Drones rely on stable GPS signals, real-time data transmission, and cloud storage to operate effectively. In areas with poor connectivity, the full potential of drones may not be realized, limiting their effectiveness (Yallappa et al., 2024) [24] .

Climate and Weather Conditions

Indian agriculture is highly dependent on weather patterns, which can be unpredictable. Drones are vulnerable to adverse weather conditions such as high winds, rain, and extreme temperatures, which can affect their performance and reliability. In addition, the short battery life of drones limits their operational capacity, particularly in large-scale farms or fields with irregular terrain (Gao et al., 2021) [5] .

Results and Discussions

The Results and Discussion section presents a detailed comparison between conventional farmer practices and drone-based spraying. The study was conducted on maize fields using agricultural drones for the application of IFFCO nano-fertilizers, with three replications to ensure experimental reliability. The total experimental area covered 2,700 m², with each plot measuring 540 m². This experimental design enabled an effective evaluation of the performance of drone spraying in comparison to traditional fertilizer application practices under field conditions.

Overall Comparison of Treatments (Before vs. After Drone Spraying) Overall, the comparison clearly demonstrates that before drone-based nano-fertilizer spraying (T₁), maize crops exhibited lower growth uniformity, reduced biomass accumulation, and inefficient nutrient utilization. After drone spraying, particularly under T₂, crops showed substantial improvement in growth parameters, nutrient-use efficiency, and physiological performance. Among all treatments, the performance ranking was T₂ > T₃ > T₁ > T₄. The results confirm that drone-assisted nanofertilizer application, especially nano urea alone or in combination with nano DAP, ensures uniform nutrient delivery, reduces nutrient losses, and enhances crop growth without altering plant population or cob initiation. In contrast, treatments without nano-fertilizer supplementation (T₄) failed to achieve comparable improvements, highlighting the importance of nano-fertilizers in maximizing the benefits of drone-based spraying.

Conclusion

This study conclusively demonstrates that drone-assisted nano-fertilizer spraying significantly outperforms conventional farming practices in maize cultivation. Before drone spraying, crops under traditional fertilization showed comparatively lower growth, biomass accumulation, and nutrient-use efficiency. After drone-based application of nano fertilizers, particularly nano urea combined with recommended basal fertilizers, maize crops exhibited marked improvements in plant height, leaf area, stem girth, and fresh and dry biomass across growth stages.Precision spraying via drones delivers fertilizers with pinpoint accuracy, reducing overall chemical usage by 20-50%. The time efficiency with drones allows for covering a 10-acre area in less than a hour-a task that typically takes up to two days for manual labourers. Water conservation in dronebased spraying reduces water usage by 80-90%, requiring only 5-10 liters per acre compared to the 100 liters typically needed with traditional methods. Increased productivity due to field trials has proven that the use of nano-fertilizers in crops such as rice, maize, cotton, and tomato increases average yields by 8-25%.Through the efficient use of resources, fertilizer wastage was reduced by 40%, the economic impact showed a significant reduction in investment costs and a 20% increase in crop yield, and sustainability aspects included reducing the flow of chemicals into local water sources and promoting long-term soil health.Drone-assisted nano-fertilizer application emerges as a transformative and environmentally responsible technology for modern agriculture in India.

References

  1. Berni JA, Zarco-Tejada PJ, Suárez L, Fereres E. Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Trans Geosci Remote Sens. 2009;47(3):722-738.
  2. Bhat GR, Dudhedia MA, Panchal RA, Shirke YS, Angane NR, Khonde SR, et al. Autonomous drones and their influence on standardization of rules and regulations for operating: a brief overview. Results Control Optim. 2024;14:100401.
  3. Castaldo JH. Revolutionizing agriculture from the skies: exploring the potential of spraying drones in precision farming. Cadernos Ciênc Tecnol. 2023; e27284-e27284.
  4. Chandak VS, Kathwate LH, Nagime PV. Role of nanotechnology in precision agriculture. In: Handbook of nanotechnology in agriculture. Singapore: Springer Nature Singapore; 2025. p. 1-20.
  5. Gao M, Hugenholtz CH, Fox TA, Kucharczyk M, Barchyn TE, Nesbit PR. Weather constraints on global drone flyability. Sci Rep. 2021;11(1):12092.
  6. Gatkal NR, Sachin MN, Girishkumar BB, Ramesh KS, Avdhoot AW, Pravin BK, et al. Review of UAVs for efficient agrochemical spray application. Int J Agric Biol Eng. 2025;18(1):1-9.
  7. Jain S, Bhujel S, Shrivastava U, Mohapatra A, Mishra G. Advancements in drone technology for fruit crop management: a comprehensive review. 2023; p. 1-??.
  8. Komatineni BK, Makam S, Meena SS. A comprehensive review of the functionality and applications of unmanned aerial vehicles in agriculture. J Electr Syst Inf Technol. 2024;11(1):57.
  9. Kumar SP, Subeesh A, Jyoti B, Mehta CR. Applications of drones in smart agriculture. In: Smart agriculture for developing nations: status, perspectives and challenges. Singapore: Springer Nature Singapore; 2023. p. 33-48.
  10. Kumar Y, Tiwari KN, Singh T, Raliya R. Nanofertilizers and their role in sustainable agriculture. Ann Plant Soil Res. 2021;23(3):238-255.
  11. Makam S, Komatineni BK, Meena SS, Meena U. Unmanned aerial vehicles: an adoptable technology for precise and smart farming. Discover Internet Things. 2024;4(1):12.
  12. Gupta P, Dhar H, Bagal YS, Jaglan S. Smart nanofertilizers: a path to sustainable agriculture. Environ Geochem Health. 2025;47(10):1-29.
  13. Gao X, Zhao Q, Yuan N, Li X, Zhang B, Zhu Y, et al. Appropriate soil fertilization or drone-based foliar Zn spraying improves yield and micronutrient quality of wheat grains. Agriculture. 2024;14(9):1530.
  14. Ramesh T, Dayana K, Rathika S, Pazhanivelan S. Drone-based foliar nutrient spray improves physiology, nutrient uptake and yield of greengram (Vigna radiata). Indian J Agric Sci. 2024;94(12):1381-1384.
  15. Reddy BM, Elankavi S, Midde SK, Mattepally VS, Bhumireddy DV. Effects of conventional and nano fertilizers on growth and yield of maize (Zea mays L.). Bhartiya Krishi Anusandhan Patrika. 2022;37(4):379382.
  16. Sahni RK, Kumar SP, Thorat D, Sanodiya R, Soni S, Yumnam C, et al. Comparative assessment of the efficacy of drone spraying and gun spraying for nanourea application in maize. Drones. 2025;10(1):1-12.
  17. Samui S, Sagar L, Sankar T, Manohar A, Adhikary R, Maitra S, et al. Growth and productivity of rabi maize influenced by foliar application of urea and nano-urea. Crop Res. 2022;57(3):136-140.
  18. Siatwiinda SM, Supit I, van Hove B, Yerokun O, Ros GH, de Vries W. Climate change impacts on rainfed maize yields in Zambia under conventional and optimized management. Clim Change. 2021;167(3):39.
  19. Srivastava S, Gupta S, Dikshit O, Nair S. A review of UAV regulations and policies in India. In: Proc Int Conf Unmanned Aerial System in Geomatics. Cham: Springer International Publishing; 2019. p. 315-325.
  20. Song Y, Bi J, Wang X. Design and implementation of intelligent monitoring system for agricultural environment using IoT. Internet Things. 2024;25:101029.
  21. Symeonaki E, Arvanitis K, Piromalis D. A contextaware middleware cloud approach for integrating precision farming facilities into IoT toward agriculture 4.0. Appl Sci. 2020;10(3):813.
  22. Tzounis A, Katsoulas N, Bartzanas T, Kittas C. Internet of Things in agriculture: recent advances and future challenges. Biosyst Eng. 2017;164:31-48.
  23. Wonde KM, Tsehay AS, Lemma SE. Training at farmers' training centers and its impact on crop productivity and household income in Ethiopia. Heliyon. 2022;8(7):e09938.
  24. Yallappa D, Kavitha R, Surendrakumar A, Suthakar B, Mohan Kumar AP, Kannan B, et al. Improving agricultural spraying with multi-rotor drones: operational parameter optimization. Front Nutr. 2024;11:1487074.
Citations
0
FWCI
0.00
field-weighted impact
References
0
Percentile
7%
vs. same field & year
Citation Network

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