AI Assisted Smart Agriculture Technique for Predicting Crop Nutrients

Artificial Intelligence assisted smart agriculture became essential to ensure the sustainability of agriculture. Several important areas of agriculture, including plant growth, disease prediction, soil irrigation management, forecasting of weather and livestock management, use AI approaches. It has been highlighted that amalgamating AI and IoT technologies helps us to find solution in real world problems. This work outlines the useful application of AI in smart agriculture techniques. In this work, 2201 rows of dataset have been studied comprising of six different attributes N,P,K of soil and other environmental conditions such as temperature, humidity, rainfall etc. It helps to predict which crop is best suitable for that type of environment. This study also helps to find any particular nutrient required such as Nitrogen (N) for all the major crops. These predictions benefit the farmers to help make informed decisions.