Harnessing IoT for Precision Soil Management: Smart Fertilization Strategies and Soil Health Improvement
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Abstract
This research explores smart fertilization tactics that take soil nutrient content, crop needs, and environmental conditions into account, with the goal of improving soil health via the integration of IoT data analytics. Nutrient runoff, environmental deterioration, and inefficiency are common outcomes of traditional fertilization methods. This study responds by creating targeted fertilization programs based on individual soil types and crop requirements by making use of internet of things (IoT) technology and sophisticated data analytics. This study finds that the Internet of Things (IoT) might change the way farmers handle soil management by reviewing a ton of previous research and case studies. Soil sensors, weather stations, and other Internet of Things (IoT) devices are set up to gather data on soil moisture, nutrient levels, and environmental conditions in real-time as part of the technique. In order to optimize fertilization procedures, data analytics tools, including as statistical analysis and machine learning algorithms, are used to analyze and understand the obtained data. The findings show that soil health has significantly improved, leading to increased nutrient retention, higher agricultural yields, and less environmental impact. In order to promote sustainable agriculture, IoT-based techniques are preferable than conventional fertilization methods, according to comparative evaluations. Sustainable agriculture, social and economic progress, and ecological preservation are some of the larger topics covered in this study of smart fertilization tactics. Adding to the expanding corpus of information on precision agriculture, this study highlights the significance of using data-driven strategies to tackle the complicated problems that contemporary farming faces. For the purpose of promoting soil health and ecosystem resilience over the long term and facilitating the broad adoption of smart fertilization techniques, we provide suggestions for future research as well as policy interventions.
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