CROP YIELD PREDICTION IN AEROPONICS FARMING USING DATA MINING TECHNIQUES

Abstract

In soilless farming like Aeroponics, the temperature is one of the major affecting factors in producing
high yield of crops. The varying seasonal temperature has a high chances of altering the inside room temperature. This
paper focuses on predicting the yield of crop in the current year using the historical dataset and in addition, it also
focuses on predicting if the yield will go through a downfall with the change in the room temperature. This prediction
aids the farmer to get aware of the decline in the yield and take corrective measures in setting the appropriate room
temperature to overcome the decline in the yield of crops.