Real-time Monitoring System in IoT for Achieving Sustainability in the Agricultural Field

Agriculture is a separate industry in the country's economy. In terms of agriculture, India ranks second. Irrigation, fertilization, and crop rotation are the primary concerns in agriculture. Due to technological advancements, farmers are powerless to maximize agricultural yields in today's world. The term "system" is proposed to provide favorable recommendations for farmers who use IoT in Precision Agriculture to increase crop yield. The proposed ACRIS system consists of three modules. The "ARV Recommendation System: Agriculture Factor-based Relevance Vector Analysis Model for Identifying Accurate Farming Recommendations" module is the first module of ACRIS. This model detects agricultural factors and recommends favorable conditions based on the relevant vector analysis. The second module, "AISM System: Advanced Irrigation Planner Based on Soil Moisture Prediction for Farmers in Precision Agriculture", is the second. The motivation tied up in developing "ACRIS: Agriculture Cultivation Recommender and Smart Irrigation System," collaborating IoT with machine learning paradigm to achieve optimum water-resource utilization in the precision farming landscape. The recommended technique proves to be favorable in monitoring huge crop fields. This system helps predict irrigation planning based on the irrigation requirements with the various sensing prediction of parameters. The prediction parameters are soil moisture, soil temperature, and humidity. This observed experimental data supports smart irrigation with a high yield in crop production by utilizing less water.