Artificial intelligence, specifically deep learning, is gradually changing the agricultural industry as it is introduced to new forms of data analysis and image recognition. It is different from conventional machine learning because this technology generates useful findings from a vast amount of farming data without human intervention. The deep learning models are also very effective in processing data from sensors, drones, and satellites to provide farmers with a detailed view of their crops and fields. This assists to enhance the efficiency in precision farming, and here, water, fertilizer, and pesticide among other necessities are applied only where and when they are needed. It also supports the accomplishment of the maximal producing activity without increasing the risks......
Keywords: Deep learning; Precision Agriculture; Remote sensing; Crop Monitoring; Weed Detection and Management; soil analysis; Satellite Image Analysis; Food Quality Inspection; Harvesting systematization; Irrigation Management; Yield Prediction; Crop Classification and analysis; Sustainable Farming Practice.
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