Automated Control System for Crop Yield Prediction using Machine Learning Approach

摘要

There have been various studies and research done on analyzing the patterns that can be observed in the yield production and predicting data of similar nature. To overcome the flaws of traditional agriculture such as large labor requirement, poor real time data acquisition, small monitoring area, Wireless Sensor Network based precision agriculture and prediction for increasing crop yield is done using data mining techniques. The proposed model uses only few sensors for experimental use. These nodes sense the environmental parameters like temperature, humidity, pH, NPK values. Analysis is done on sensed data which is captured from field and stored in server for further analysis. Thus, there is a need for a unique model that does prediction of the crop yield but uses these agriculture parameters to give results that help improving the crop yield. The farmer or researcher can do efficient farming using this technology.