Plant Disease Detection Using CNN – A Review

Author:

Pai Prameetha1,Bakshi Abhinav1,Kumar Ayush1,Anand Brijesh1,Bhartiya Devesh1,Babu D R Ramesh1

Affiliation:

1. Dayananda Sagar College of Engineering, Bengaluru, Karnataka, India.

Abstract

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.

Publisher

Anapub Publications

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1. Deep learning based Identification of Solid Waste Management in Smart Cities through Garbage Separation and Monitoring;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03

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