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AI-Based Soil Quality Monitoring and Improvement Techniques Predicting and Mitigating Soil Erosion and Degradation
Abstract
Soil health remains a cornerstone of sustainable agriculture and food production, yet it faces mounting challenges from nutrient depletion, erosion, and degradation, often driven by unsustainable farming practices, climate change, and over-reliance on chemical inputs. The emergence of artificial intelligence (AI) in agriculture has introduced a transformative solution to these issues by enabling highly accurate soil quality assessments and predictive capabilities that aid in the conservation and improvement of soil health. This chapter explores the application of AI-based techniques in soil monitoring and improvement, focusing on how they predict, detect, and mitigate soil erosion and degradation to ensure long-term soil fertility and agricultural productivity.
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