Comprehensive Analysis of Apple Diseases Using Machine Learning: A Review

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Comprehensive Analysis of Apple Diseases Using Machine Learning: A Review
Author(s):
Nitish Kumar, Keshav Kishore
Keywords:
Predictive Analysis, Diseases Prediction, Machine Learning.
Abstract
In general, farming is the foundation of India and plays a significant part in the Indian economy by giving a specific level of a home-grown item to guarantee food security. Nowadays, food production and forecasting are declining due to unnatural climate change, which will disrupt farmers' economies by having poor harvests and helping farmers to become less accustomed to predicting future crops. Our research work is to distinguish the use of various AI and Machine Learning strategies to recognize crops sicknesses and give the avoidance to them. We can further improve an agriculture result by using Artificial intelligence/ML strategies applied successfully in developing regions. It is refined by applying AI Random Forest Algorithms like Support Vector Machine, Regression calculation, ANN on the cultivating data set. This research mainly focuses on the development of predictive models which can be used to predict the future of harvest diseases and mitigation to improve yields.
Article Details
Unique Paper ID: 154240 Publication Volume & Issue: Volume 8, Issue 10 Page(s): 368 - 374
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