A Tool to Measure Farmers’ Training Needs in Drone-based Technologies: A Comprehensive Review

Pankaj Sharma *

ICAR-Deendayal Research Institute: Krishi Vigyan Kendra Majhgawan, Satna, Madhya Pradesh (485331), India.

Navin Kumar Sharma

ICAR-Deendayal Research Institute: Krishi Vigyan Kendra Majhgawan, Satna, Madhya Pradesh (485331), India.

Pushpendra Singh Gurjar

ICAR-Deendayal Research Institute: Krishi Vigyan Kendra Majhgawan, Satna, Madhya Pradesh (485331), India.

Akhilesh Kumar Jagre

ICAR-Deendayal Research Institute: Krishi Vigyan Kendra Majhgawan, Satna, Madhya Pradesh (485331), India.

Ajay Chourasia

ICAR-Deendayal Research Institute: Krishi Vigyan Kendra Majhgawan, Satna, Madhya Pradesh (485331), India.

Hemraj Dwivedi

ICAR-Deendayal Research Institute: Krishi Vigyan Kendra Majhgawan, Satna, Madhya Pradesh (485331), India.

*Author to whom correspondence should be addressed.


Abstract

In the face of growing challenges in modern agriculture, such as climate change, sustainable resource management, and food security, drones are emerging as essential tools for transforming precision agriculture.  Sustainable agriculture is being transformed by drone-IoT integration, improving precision, efficiency, and sustainability. Drones are remote controlled aircraft with no human pilot on-board. These have a huge potential in agriculture in supporting evidence-based planning and in spatial data collection. Despite some inherent limitations, these tools and technologies can provide valuable data that can then be used to influence policies and decisions. The integration of drone-based technologies in agriculture presents significant potential to revolutionize precision farming. However, the adoption rate among small and marginal farmers remains limited due to gaps in knowledge, awareness, and access to appropriate training. This review synthesizes existing literature and proposes a structured framework to assess farmers’ training needs using a validated tool. Emphasizing the importance of the Training Needs Assessment (TNA) model, the paper thoroughly explores critical competency areas essential for effective modern agricultural practices. These domains include drone operation, which ensures precision in farming; GPS navigation, vital for accurate field mapping and planning; pest management, necessary for sustainable crop protection; regulatory compliance, ensuring adherence to legal and safety standards; and digital literacy, which empowers farmers to efficiently utilize emerging technologies. The findings aim to support the development of targeted training programs to bridge the digital divide in Indian agriculture.

Keywords: Drone-based technologies, farmers, training needs assessment, precision agriculture, agricultural extension, capacity building, technology adoption, digital literacy


How to Cite

Sharma, Pankaj, Navin Kumar Sharma, Pushpendra Singh Gurjar, Akhilesh Kumar Jagre, Ajay Chourasia, and Hemraj Dwivedi. 2025. “A Tool to Measure Farmers’ Training Needs in Drone-Based Technologies: A Comprehensive Review”. Journal of Scientific Research and Reports 31 (10):551-58. https://doi.org/10.9734/jsrr/2025/v31i103599.

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