Framework for Intelligent Early Warning Systems of Crop Diseases

The Early Warning System (EWS) is a critical tool for efficiently preventing hazards in agricultural productivity, as well as pests and illnesses. Early detection of plant diseases helps in increasing crop yields and decreasing losses. EWS can acquire relevant and timely information in areas where this information or data is unavailable. This paper presents a framework aimed to warning farmers of the expected crop diseases that might affect their crops. It will support a timely recommendation for the appropriate agriculture practices directed towards correct farm management. The proposed framework objective is to design a model for utilizing weather forecasting and domain knowledge that is related to the effect of weather on plant diseases. The framework output depends on the integration of weather data, which might affect crop diseases and farmers' databases that include farmers' locations and cultivated crops. Furthermore, it will enable agriculture extension agents to communicate with farmers and provide them with advices about weather data and how to deal with it to preserve crops and increase yields