文章基本信息

标题：Survey of Wheat Crop Diseases using Meta-heuristic and Machine Learning Techniques
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作者：Rachhpal Singh ; Rupinder Singh ; India 等
期刊名称：International Journal of Computer Applications and Information Technology
印刷版ISSN：2278-7720
出版年度：2021
卷号：13
期号：1
页码：400-406
语种：English
出版社：Mahadev Educational Society
摘要：All human being accomplishments are sustained by playing a vital role in the field of agriculture. Survival of this whole living world depending upon Agriculture that is an essential item. Some of the factors like conventional outlook, increase in population, changes in climate and irrigation related problems create diseases in agriculture crops. Crop production reduced due to crop-related diseases. Several mechanisms and techniques were developed to handle and reduce the increasing problems occurring in crops. Precision agriculture working and smart farming is the best-advanced tools for the reduction of diseases. Mainly meta-heuristic mechanisms with machine learning techniques are the key items for controlling and reduction of agriculture crop diseases especially in wheat crop. Due to the availability of data related to wheat agriculture crop and research methodology related to these diseases detect the occurrence and remove it by using machine learning. Diversity of wheat crops liveliness can be easily detected by using the meta-heuristic methodology and show favourable outputs with the help of some agricultural related websites. In this research paper, a systematic survey was done by the deep study related to machine learning and meta-heuristic processes for the detection of wheat-related agriculture crop.
关键词：Wheat crop diseases;Plant diseases;Leaf diseases;Soft computing;Meta-heuristic;Machine learning;Deep learning;Data analytics