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LEAF DISEASE DETECTION FOR AGRICULTURE INDUSTRY

ISUKALA MEGHANA MEGHANA

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Paper Contents

Abstract

Position of any country in the world depends on its agricultural production. Majorly India is depending on agriculture, there are wide variety of plants for cultivate and give maximum productivity but it depends the environment. Then also the production gets affected by diseases of the crop. The yield of a farmer is always depend upon the basis of the crop's disease, if the disease can be prevented, then the yield is likely to increase. The disease that caused the crop to decline could be remembered by the leaf of the plant. The method using artificial intelligence based on an algorithm we call machine learning in order to estimate the superiority of the leaf. The plant leaf provide us the most important data to distinguish the disease of the plant. The development of the Android app that gives farmers the ability to do this Identify plant leaf, diseases based on image of plant leaf taken from the android app camera source. Detecting Diseases of the leaf the plant at early stage gives it the strength to overcome and treat appropriately by providing details to the farmer what preventive measures should be taken. Android mobile application which can automatically identify the plants diseases based on its leaf appearance with some computer vision and machine learning techniques. The target group of the user is those who request a free and quick diagnosis on common leaf disease at any time of the day.

Copyright

Copyright © 2025 ISUKALA MEGHANA . This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS50700019758
ISSN: 2321-9653
Publisher: ijprems
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