Monitoring of Soil Health in Digital Age
DOI:
https://doi.org/10.55938/wlp.v1i2.117Keywords:
NPK, Soil Health Monitoring, Smart Environmental Monitoring, Soil Nutrient, Sensing TechnologiesAbstract
The health of society and humans depend on the soil, and human activity has an influence on the lifespan of the soil ecosystem. By taking social and cultural factors into account, a well-being perspective can enhance knowledge of soil health, match with societal objectives, and enrich policy frameworks. This paper presents an all-encompassing system for tracking environmental data economically that integrates sensing, networking, and visualization layers. With the integration of Internet of Things (IoT) systems, it makes possible strong statistical and mathematical models, which are essential for public health and sustainable smart city development. To provide farmers reliable information, the decision support system utilizes sensors, cloud computing, artificial intelligence (AI), and machine learning. In order to maximize output and reduce fertilizer usage, it employs an IoT-enabled algorithm to categorize soil nutrients and recommend crops. Automation is employed for data storage, processing, and collecting. Through encouraging cooperation, supporting data-driven decision-making, testing sensors, and educating users through cutting-edge visualization tools, the digital twin supports a variety of stakeholders, including farmers, agronomists, soil researchers, and law makers. Through integrating data and predictive models, it addresses climate change concerns and promotes soil research. Utilizing organic farming practices, beneficial fungus, and conservation tillage techniques to improve plant resistance, nutrient availability, and water usage efficiency are all components of agricultural sustainability. A fuzzy classifier categorizes real-time data from NPK sensors into sodium, potassium, and calcium parameters, enabling farmers to monitor soil health and track plant growth, enhancing productivity and minimizing resource wastage through an IoT-enabled fuzzy system. The study investigates the utilization of unmanned aerial vehicles, aerial imaging, and geographic information systems (GIS) for effective plant detection and enumeration in response to growing demand for food.
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Copyright (c) 2024 Shailender Thapliyal, Kailash Bisht, Meenakshi Sharma
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