This article dives into path planning and navigation algorithms in autonomous harvesting, exploring the critical algorithms used, such as A*, Dijkstra’s algorithm, Potential Fields algorithm, and Rapidly Exploring Random Tree (RRT) algorithm.
This research explores the untapped potential of agricultural drones in revolutionizing crop health monitoring and early problem detection in farming.
Applying the Climate-Smart Agriculture Rapid Appraisal (CSA-RA) approach, the article assesses the effectiveness of CSA practices in enhancing agricultural systems’ adaptation and mitigation capacities, emphasizing its potential for a more sustainable future.
Harnessing vertical space and water-efficient hydroponic systems, this method offers increased yields, reduced resource consumption, and minimized environmental impact.
Optimizing Irrigation and Reducing Water Waste with the use of sensors in Smart irrigation systems.
This article explores the profound impact of autonomous tractors on farming operations. It outlines the synergistic relationship between AI and GPS, which enables these machines to perform tasks with unprecedented efficiency, accuracy, and sustainability.
This article explores the types of drones used for crop damage assessment in precision farming and its functions.
An Analysis of SHA-256, Scrypt, and Ethash algorithms for ensuring the security and integrity of the data stored on the blockchain primarily used in IoT vineyard monitoring systems.
