Smart Precision Farming Using Internet of Things and Machine Learning

Machine learning (ML) and Internet of Things (IoT) together have a revolutionary impact on agriculture, such as precision farming, which uses cutting-edge technology to address the challenges of unsupervised and random farming practices. Soil testing is a major component of farming that provides knowledge regarding the properties of soil. By measuring the pH level and nutrient deficiencies, the outcome of this test provides knowledge about the fertility and health of the soil. This involves the sampling and testing of each nutrient with certain chemicals, which are further analyzed by experts. This paper presents an innovative framework that harnesses the fusion of IoT and ML to redefine traditional farming methods. In addition, a prototype was created with a combination of various sensing devices, and various analyses of algorithms were performed on the gathered dataset for recommendation. The findings highlight a potential crop suitable for a particular set of soil parameters.