Optimizing Precision Agriculture Through AI and Robotic Innovation

Prabal Barua ^1*, Tanvir Alam Chowdhury Emon ², Maloy Baroi ³

AI-powered Accuracy Agriculture helps the agricultural sector by combining sustainable progress with higher output, resource protection and improved decision-making capabilities.

Abstract

Background: Artificial Intelligence (AI) along with robotics is being integrated into farming systems enhancing efficiency and productivity while utilizing the data captured by drones, sensors, weather stations, and satellites. Farmers are able to make decisions concerning the irrigation, fertilization, chemical treatments, and pest management to be more protective of the environment and to enhance sustainability. Methods: Analyze Precision Agriculture and Technologies (PA) through the lens of AI and Robotics with the aid of scholarly articles, case studies, and applicable literature. The assessment will help understand the technologies concerning data collection, analytics using artificial intelligence (AI), and robotic work as pertaining to crops management. Results: The results suggest that productivity, environmental sustainability, and resource, water for example, fragmentation are maximized under AI based Pa systems. Management of crop disease, nutrient deficiency, and real-time soil moisture data guarantees that water is utilized efficiently. Decreases in operation expenditures, higher yields, and optimum depletion of several costly resources was a common finding from all case study models. Conclusions: The integration of precision agriculture and artificial intelligence (AI) have promising opportunities when it comes to bolstering the sustainable advancement of agriculture. This note emphasizes the relevance of, at least when the returns are expected to be waited for, there must framing and groundwork done to ensure broader adoption and fair distribution.

Keywords: Precision Agriculture (PA), Artificial Intelligence (AI), Smart Farming Technologies, Sustainable Agriculture, Robotics in Farming.

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