A FRAMEWORK FOR PREDICTING THE CROP YIELD IN ACCORDANCE WITH SOIL PARAMETERS

Abstract

In India, agriculture is both a common and low-paying profession. By changing the revenue scenario by cultivating the best crop, machine learning can lead to a boom in the agricultural sector. This study combines a variety of machine learning approaches to forecast the crop's output. Based on mean absolute error, these methodologies' results are contrasted. By taking into account the image of the soil the forecast provided by machine learning algorithms would assist farmers in choosing which crop to grow to receive the maximum yield. Keywords: optimum, information, Machine learning, detect, yield.