Abstract
This paper explores the feasibility, practicality, and scalability of autonomous agricultural resource monitoring using a combination of macro and micro-level observation. With the rapid advancement in Internet of Things (IoT) technology, autonomous mobile robots, and artificial intelligence, there is significant potential to enhance efficiency in crop production. The study contemplates and assesses a network of intelligent sensors combined with autonomous robots to monitor field status such as soil moisture, crop health, and environmental conditions. As a case study, our analysis considers a north Florida peanut farm implementing these technologies on fields ranging from 40 acres to 640 acres (Section 1). Results indicate that while the integration of such systems shows promise in terms of improving resource management, system cost and utility are more practical for larger scale operations.
https://www.sciencedirect.com/science/article/pii/S2405896325024899
