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Framework for Intelligent Early Warning Systems of Crop Diseases
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Abstract: 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.
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| Publication year |
2022
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| serial title |
Journal International Journal of Advanced Trends in Computer Science and Engineering
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| Publication Type |
Journal
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