The distinguishing proof and location of sicknesses of plants is one of the essential concerns which decide the deficiency of the yield of harvest creation and agribusiness. The examinations of plant sickness are the investigation of any noticeable places in any piece of the plant which assists us with separating between two plants, actually any spots or shading conceals. The manageability of the plant is one of the central issues that are for agrarian turn of events. The ID of plant illnesses is extremely challenging to get right. The recognizable proof of the affliction requires bunches of work and ability, loads of information in the field of plants and the examinations of the acknowledgment of those illnesses. Hence, picture taking care of is used for the location of plant ailments. The Detection of illnesses follows the techniques for picture obtaining, picture extraction, picture division, and picture pre-handling.
Keywords
Disease detection, Convolutional Neural Networks, Image Classification, Transfer Learning.
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Prameetha Pai
Prameetha Pai
Dept. of CSE, Dayananda Sagar College of Engineering, Bengaluru, Karnataka, India.
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Cite this article
Prameetha Pai, Abhinav Bakshi, Ayush Kumar, Brijesh Anand, Devesh Bhartiya, Ramesh Babu D R, “Plant Disease Detection Using CNN – A Review", vol.2, no.2, pp. 046-054, April 2022. doi: 10.53759/181X/JCNS202202008.
