Adoption of Precision Agriculture Technologies among Farmers: A Comprehensive Review

Garima Khaspuria *

Department of Agriculture, Faculty of AI & DS, Vivekananda Global University, Jaipur 303012, India.

Aarushi Khandelwal *

Department of Computer Science and Engineering, Vivekananda Global University, Jaipur 303012, India.

Mahima Agarwal

Department of Agriculture, Vivekananda Global University, Jaipur 303012, India.

Mayank Bafna

Department of Agriculture, Vivekananda Global University, Jaipur 303012, India.

Rupesh Yadav

Department of Computer Science and Engineering, Vivekananda Global University, Jaipur 303012, India.

Abhishek Yadav

Department of Agriculture, Vivekananda Global University, Jaipur 303012, India.

*Author to whom correspondence should be addressed.


Abstract

Precision agriculture (PA) technologies have spearheaded a revolution in contemporary farming practices, ushering in an era of sustainability, efficiency, and data-driven agricultural production. This comprehensive examination aims to delve deeply into the intricate dynamics surrounding the adoption of precision agriculture technologies among farmers, synthesizing existing literature, identifying key determinants, barriers, and implications.

The adoption of precision agriculture technologies is influenced by a myriad of factors spanning socio-economic, institutional, technological, psychological, and attitudinal dimensions. Socio-economic factors such as farm size, income level, access to credit, and demographic characteristics are pivotal in shaping farmers' decisions to adopt PA technologies. Institutional factors, including government policies, extension services, market structures, and support networks, also wield significant influence over adoption patterns.

Technological considerations, such as the complexity, compatibility, and perceived benefits of precision agriculture technologies, impact farmers' adoption decisions. Moreover, psychological factors such as risk perception, innovativeness, and attitudes towards change contribute to shaping farmers' willingness to embrace new technologies.

The adoption of precision agriculture technologies holds immense promise for enhancing farm productivity, sustainability, and profitability. By enabling precise management of inputs such as water, fertilizers, pesticides, and seeds, PA technologies help optimize resource use, minimize environmental impact, and maximize yield potential. Furthermore, the integration of advanced data analytics, remote sensing, and IoT (Internet of Things) devices facilitates real-time monitoring, decision-making, and predictive analytics, empowering farmers with actionable insights for improved farm management.

However, despite the compelling benefits, the adoption of precision agriculture technologies faces several barriers and challenges. High initial investment costs, limited access to capital, inadequate infrastructure, and technical knowledge gaps pose significant hurdles for farmers, particularly those operating in resource-constrained settings. Concerns regarding data privacy, security, and ownership also contribute to farmers' apprehensions about adopting PA technologies, raising questions about data governance and regulatory frameworks.

To overcome these barriers and promote the widespread adoption of precision agriculture technologies, concerted efforts are needed from various stakeholders. Farmer education and training programs play a crucial role in enhancing digital literacy, technical skills, and awareness about the potential benefits of PA technologies. Government policies and incentives, including subsidies, grants, and tax incentives, can help alleviate financial barriers and incentivize adoption.

Moreover, collaboration between researchers, industry stakeholders, and policymakers is essential to drive technological innovation, develop user-friendly solutions, and address emerging challenges. Investments in infrastructure, such as rural broadband connectivity and sensor networks, are also imperative to ensure the seamless integration and scalability of precision agriculture technologies across diverse farming landscapes.

Keywords: Precision agriculture, adoption, farmers, technology, review, socio-economic factors, institutional factors, technological determinants, barriers, implications


How to Cite

Khaspuria, Garima, Aarushi Khandelwal, Mahima Agarwal, Mayank Bafna, Rupesh Yadav, and Abhishek Yadav. 2024. “Adoption of Precision Agriculture Technologies Among Farmers: A Comprehensive Review”. Journal of Scientific Research and Reports 30 (7):671-86. https://doi.org/10.9734/jsrr/2024/v30i72180.

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