How can artificial intelligence improve soil management?
Soil is a vital resource for food production, biodiversity, and climate regulation. However, soil degradation is a serious global challenge that affects millions of hectares of land and threatens food security, environmental quality, and human health. Chemical engineering can play a key role in developing innovative solutions for soil management, especially by harnessing the power of artificial intelligence (AI). AI is the branch of computer science that enables machines to perform tasks that normally require human intelligence, such as learning, reasoning, and decision making. In this article, we will explore how AI can improve soil management in four main areas: soil mapping, soil monitoring, soil remediation, and soil optimization.
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Enhanced soil mapping:Machine learning algorithms can analyze complex datasets from satellites and field measurements. This helps create dynamic soil maps, enabling precise land use and management decisions.### *Real-time soil monitoring:Smart sensors and IoT devices gather real-time data on soil conditions. AI processes this information, offering timely recommendations to prevent degradation and optimize soil health.