Published Paper Details:

Soil analysis is a valuable tool for your operation because it identifies the inputs needed for efficient and economical production. A proper soil test helps ensure that enough fertilizer is being applied to meet crop needs while using nutrients already present in the soil. A series of different chemical processes determine the amount of plant nutrients and the chemical, physical and biological properties or "soil health" of the soil, which are important for plant nutrition. Taking soil samples, analyzing the samples in the laboratory, issuing fertilizer recommendations and interpreting the results is a very time-consuming process for farmers. Therefore, we have developed a soil analysis system. I have two data sets, one of which is an image of a different soil 1. Red soil 2. Black soil 3. Hill soil 4. Desert soil is a different plant. The model can suggest soil types and suggest suitable plants depending on the soil type. Use CNN (Convolutional Neural Network) algorithm to train the models and find the results. The final application is a web browser that loads the clay image. The app predicts the soil type and, depending on the soil type, it also predicts the suitable crop for the soil.