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Agriculture bots, also known as agribots, are automated machines designed to perform a variety of farming tasks, including planting, weeding, harvesting, and monitoring crop health. These robots leverage advanced technologies such as artificial intelligence (AI), computer vision, machine learning, GPS, and sensors to operate with high precision and autonomy. They are capable of adapting to real-time field conditions, making data-driven decisions to optimize resource usage like water and fertilizers, and minimizing the need for human intervention.
The primary roles of agriculture bots include enhancing efficiency, reducing labor costs, and improving sustainability by decreasing reliance on chemical inputs and minimizing environmental impact. For instance, weeding robots can use computer vision to distinguish between crops and weeds, enabling targeted herbicide application or mechanical removal, which can reduce chemical use by up to 95%. Harvesting robots are designed to pick crops at peak ripeness, reducing waste and increasing marketable yield. Monitoring robots, such as drones and ground-based units, collect data on crop health, soil conditions, and environmental factors, providing insights that allow for timely interventions to prevent crop loss.