Analysis of Deep Learning Models for Precise Agriculture
Keywords:
precise agriculture, climate change, soil properties, water requirements, crop yield, future predictionAbstract
This paper presents the transformative impact of Smart Agriculture that focusing on advancements in soil properties monitoring, intelligent production strategies among climate change challenges and precision crop recommendations. Investigating the integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies, the study investigates into real-time data analytics for informed decision-making that emphasizing water requirements optimization. The review highlights the current state of precision agriculture and highlights its potential in addressing environmental concerns. Additionally, the paper discusses future prospects that predicting enhanced sustainability, resource efficiency and productivity through continued technological innovations in the field of precision agriculture.
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