Year: 2026
Type: review
Abstract: Agriculture is a key sector in Nepal, employing approximately 60% of the population and contributing 27.1% to the national GDP. Despite its importance, Nepalese agriculture relies heavily on traditional practices, resulting in low productivity, labor shortages, and inefficient resource use. Autonomous vehicles (AVs), including self-driven tractors, harvesters, drones, and robotic farm machinery, are revolutionizing precision agriculture globally by enhancing operational efficiency, reducing labor dependence, and enabling data-driven decision-making. Among available technologies, agricultural UAVs and GPS-guided ground vehicles for the Terai plains represent the most immediately feasible entry points for Nepal, while robotic ground systems for hill terrain require further adaptation and cost reduction before widespread deployment is viable. This review explores potential applications and future prospects of AVs in Nepalese agriculture. A narrative review of literature from 2000 to 2025 was analyzed, focusing on technologies such as GPS, LiDAR, AI, IoT, and robotic actuators used in agricultural automation. AVs offer opportunities for improved crop monitoring, precise application of fertilizers and pesticides, mechanized planting and harvesting, and efficient transportation of farm produce. However, challenges such as high investment costs, hilly terrain, small landholdings, lack of technical expertise, and inadequate infrastructure may limit adoption. Strategic investment, policy support, and capacity building are essential to leverage AV technologies for sustainable agricultural development in Nepal. This review provides insights for researchers, policymakers, and stakeholders on integrating autonomous technologies to enhance productivity and resource efficiency in Nepalese agriculture.
Source: Cogent Food & Agriculture
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
Funder: Hokkaido University
OpenAlex ID: W7164514362