Soil Monitoring and Recommendation System

Abstract

Plant fertility is very dependent on the levels of nutrients present in the soil. Measurement of soil nutrients can be done through laboratory tests and can also be done using IoT technology. IoT equipment is supported by sensors that can be used to measure soil nutrients and the location of the soil is measured. Data from land measurements made through IoT technology can be stored and displayed in real-time through the cloud. This paper designs data sources derived from IoT-based nutrient measurement data to build data warehouse locations and soil nutrients. A data warehouse that is formed later can be done for analysis of the types of plants and fertilizers needed at a soil location. The agricultural yield primarily depends on soil fertility, the moisture level of soil and use of appropriate fertilizers. In the current scenario, the manual method of measuring the soil nutrients is less accurate because of the time difference of soil sample collected at the field and when it is measured in a laboratory. It becomes necessary to create a smarter agriculture practice through Internet of Things (IoT) to address this challenge. Soil nutrient analysis using sensor enables various application like remote monitoring of soil fertility, analysis, provide a selection of crop and build irrigation decision support systems. In the proposed system, the wireless sensors measure the macro nutrient of soil and transmit the data to the cloud. The user can view the soil fertility at the convenience on their mobile application. It is possible that the farmer may wish to grow a specific crop based on the economic interest. The software system has the intelligence to recommend the fertilizer that is required to be used to suit the needs of the desired crop, thus improving the quality of the soil and in turn, increase the yield. Overall, the proposed system helps farmers to gather real-time information about various soils, their fertility level, suggest crops and fertilizers at the convenience of the mobile app. Finally, this project effort will help farmers to make the right decision, gain better yield and economic.