Soil Fertility Detection For Crop Recommendation

Abstract

Technological advances in agricultural process have changed from traditional methods to automated methods to achieve productive yield. Thus, suitable climatic and soil conditions are tested to maximize performance. Agricultural parameters are monitored to improvise the quality and quantity of agriculture. An important parameter is soil fertility, which is the proportion of nutrients in the soil necessary for cultivation. Determine the average percentage of essential nutrients (e.g. nitrogen, phosphorus, and potassium) and determine the appropriate crops for a given soil type. The proposed system analysis soil nutrient concentrations in real time and prepares a yield forecast. The system predicts humidity, humidity and temperature values based on historical data through sensors. Yield prediction involves many factors, including biological \properties, soil properties, and environmental conditions.