Volume 11 - Volume 11
Smart Proactive Warning System for Early Prediction of Potato Late Blight Via Machine Learning
Abstract
Precision agriculture is one of the applications which may use the Machine learning technology to
maximize the crops productivity, optimize the quality of the crops, and minimize the negative
environmental impact like crops diseases. Crop diseases are generally one of the most critical
problems that threaten the worlds agriculture, causing large losses in agricultural production of
about 25% per year. Some metrological data like relative humidity, temperature, wind speed, wind
direction, and pressure play an essential role in the creation and spreading of late blight disease of
potato. The proposed system aims to predict a potato late blight using a machine learning (ML) IoT
based system trained on dataset collected from field sensors at crops environment through
forecasting weather data from weather stations. The proposed system is designed based on Logistic
regression and Neural Networks where model results show performance and accuracy improvements
compared with the result of built in service created on Microsoft Azure cloud using the same data set
Paper Details
PaperID: 2263
Author's Name: Samer I. Mohamed
Volume: Volume 11
Issues: Volume 11
Keywords: Machine Learning (ML), Potato Late Blight, Precision Agriculture, Binary Neural Networks, Logistic Regression, Warning System.
Year: 2021
Month: June
Pages: 2177-2193