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Deep Learning in Agriculture: Leaf Classification Project Overview
March 31, 2024, 1:23 p.m. | Erick Badillo
DEV Community dev.to
Importance in Agriculture
In today’s agricultural sector, rapid and accurate identification of plant species and their health status is paramount. Diseases in crops can significantly impact yield and, consequently, the overall food supply. This project’s goal to classify leaf images and assess their health has far-reaching implications:
Early Disease Detection: By identifying diseased plants early, farmers can take prompt actions to mitigate the spread of disease, potentially saving large portions of crops.
Smart Farming: Integrating this technology with drones or …
agriculture classification computervision crops deep learning deeplearning detection disease diseases food food supply health identification images impact importance overview project pytorch sector species
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