Prediction of Plant Diseases using Deep Learning Techniques
Author(s)
Dhannya J,V. Sangeetha
Published Date
September 12, 2024
DOI
your-doi-here
Volume / Issue
Vol. 18 / Issue 2
Abstract
Plant diseases are an important thing regarding the growth and yield of plants. Plant disease can be easily identified by image processing using deep learning methods. Plants are imperative assets that are available on the earth. They play an important job in the improvement of the general public and they have incredible importance in ecological insurance, clinical drug, rural turn of events, and food-related applications. A significant starting point for any plant-related work is the distinguishing proof of plant aggregate that alludes to the physiological and biochemical attributes of plants, including their shading, shape, surface, etc., which are controlled by the two qualities and the climate. The horticultural creation rate assumes an essential part in the financial advancement of a country. Be that as it may, plant infections are the main hindrance to the creation and nature of food. The recognizable proof of plant infections at a beginning phase is critical for worldwide well being and prosperity.
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