Exploring the Empirical Possibilities Soil Quality Assessment System using Internet of Things Technology
Tholkappiyan Ramachandran, Kalimuddin Mondal, D Sheela, V. Senthilkumar, V Lakshmi, K. Immanuel
Abstract
What the doctor's pulse is to a doctor, soil is to a farmer. This information is useful for making decisions on watering schedules, seeding dates and types, fertilizer applications, and more. Soil analysis for total organic matter, pH, and accessible nutrients is a common practice among growers who send samples to academic or private labs. Determining if the soil is saline (excessive salt) or sodic (excessive sodium) is also prevalent in dry locations. Soil chemical health and any imbalances can be learned from this. To maximize the usefulness of soil testing, it is recommended to collect soil samples regularly (every two years is a minimum) and maintain detailed records. Before you go crazy applying fertilizer, check to see whether your soil test results are still within the ideal range. We suggested an AI-based soil health monitoring system to achieve this goal. Crop yields are reduced by climate change, scarce water supplies, and unfertile soil. Agricultural organizations are increasingly turning to the Internet of Things (IoT) and AI methods in an effort to address these issues. In order to assess the efficacy and performance of the suggested model, this study presented a new technology called IoT Soil Quality Assessment (IoTSQA), which is cross-validated with the traditional GSM based Soil Quality Assessment (GSMSQA).