A Comprehensive Evaluation of a Solar–Powered Multi–Vehicle System for Autonomous Soil Mineral Detection in Agriculture
Year: 2025
Type: article
Abstract: The escalating global demand for food necessitates a paradigm shift towards more sustainable and efficient agricultural practices. This research addresses this imperative by designing, developing, and rigorously evaluating a novel solar-powered multi-vehicle system engineered for autonomous soil mineral detection. The system architecture integrates unmanned ground and aerial vehicles equipped with a suite of advanced electromagnetic and spectroscopic sensors, all powered by an onboard photovoltaic infrastructure. This design facilitates continuous, real-time in-situ analysis of soil nutrient profiles, enabling precision agriculture. A comprehensive evaluation was conducted to assess the system's performance across multiple metrics, including detection accuracy, energy efficiency, and operational robustness. Experimental results demonstrated a superior mineral detection accuracy of 95.2% and a significant reduction in energy consumption compared to conventional methods. The integration of a sophisticated coordination algorithm further ensured optimal route planning, minimizing redundant paths and enhancing overall task efficiency. By leveraging renewable solar energy, the system drastically reduces reliance on fossil fuels, thereby mitigating the carbon footprint of agricultural monitoring. This work substantiates the viability of autonomous, solar-powered systems as a transformative solution for sustainable agriculture, offering a pathway to optimize resource use, enhance crop productivity, and minimize environmental degradation through data-driven mineral management.
Source: CompSci & AI Advances
Institution: Morgan Stanley (United States)
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W7204223141