ISSN 2394-5125
 

Review Article 


AN EMPIRICAL STUDY ON MACHINE LEARNING ALGORITHM FOR PLANT DISEASE PREDICTION

E.Kanimozhi, D.Akila.

Abstract
In this study, a neuroevolution algorithm has been developed for predicting various diseases in plants. The machine learning algorithms support different classification techniques that can be demonstrated for the performance improvement in plant disease prediction. Prediction of the disease depends on the weather factors which have a relationship with climate change data, the soil of that area. Here we have illustrated an approach of implementing the neuroevolution model based on ANN for predicting various plant diseases. Multiple causes and the type of illness that can affect different plants during the different seasons are predicted. Therefore the result of the proposed model assists in decision making in advance in precaution taking in a disease that may affect the plant. The results are utilized for making an advanced decision for disease avoidance in plants as well as various farm activities throughout multiple-stage it also uses the same model that can be utilized for predicting various agricultural data such as yield prediction and weather prediction.

Key words: Neuroevolution, Prediction, Artificial Neural Network.


 
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How to Cite this Article
Pubmed Style

E.Kanimozhi, D.Akila. AN EMPIRICAL STUDY ON MACHINE LEARNING ALGORITHM FOR PLANT DISEASE PREDICTION. JCR. 2020; 7(5): 491-493. doi:10.31838/jcr.07.05.105


Web Style

E.Kanimozhi, D.Akila. AN EMPIRICAL STUDY ON MACHINE LEARNING ALGORITHM FOR PLANT DISEASE PREDICTION. http://www.jcreview.com/?mno=98492 [Access: August 18, 2021]. doi:10.31838/jcr.07.05.105


AMA (American Medical Association) Style

E.Kanimozhi, D.Akila. AN EMPIRICAL STUDY ON MACHINE LEARNING ALGORITHM FOR PLANT DISEASE PREDICTION. JCR. 2020; 7(5): 491-493. doi:10.31838/jcr.07.05.105



Vancouver/ICMJE Style

E.Kanimozhi, D.Akila. AN EMPIRICAL STUDY ON MACHINE LEARNING ALGORITHM FOR PLANT DISEASE PREDICTION. JCR. (2020), [cited August 18, 2021]; 7(5): 491-493. doi:10.31838/jcr.07.05.105



Harvard Style

E.Kanimozhi, D.Akila (2020) AN EMPIRICAL STUDY ON MACHINE LEARNING ALGORITHM FOR PLANT DISEASE PREDICTION. JCR, 7 (5), 491-493. doi:10.31838/jcr.07.05.105



Turabian Style

E.Kanimozhi, D.Akila. 2020. AN EMPIRICAL STUDY ON MACHINE LEARNING ALGORITHM FOR PLANT DISEASE PREDICTION. Journal of Critical Reviews, 7 (5), 491-493. doi:10.31838/jcr.07.05.105



Chicago Style

E.Kanimozhi, D.Akila. "AN EMPIRICAL STUDY ON MACHINE LEARNING ALGORITHM FOR PLANT DISEASE PREDICTION." Journal of Critical Reviews 7 (2020), 491-493. doi:10.31838/jcr.07.05.105



MLA (The Modern Language Association) Style

E.Kanimozhi, D.Akila. "AN EMPIRICAL STUDY ON MACHINE LEARNING ALGORITHM FOR PLANT DISEASE PREDICTION." Journal of Critical Reviews 7.5 (2020), 491-493. Print. doi:10.31838/jcr.07.05.105



APA (American Psychological Association) Style

E.Kanimozhi, D.Akila (2020) AN EMPIRICAL STUDY ON MACHINE LEARNING ALGORITHM FOR PLANT DISEASE PREDICTION. Journal of Critical Reviews, 7 (5), 491-493. doi:10.31838/jcr.07.05.105