Affiliation:
1. Department of Computer Science and Engineering, Lovely Professional University, Jalandhar 144411, Punjab, India
Abstract
Timely diagnosis of the disease is the key factor in agricultural productivity. If timely detection of the disease is not taken into account, it may lead to crop yield loss. Hence, agriculturists and agronomists face troubles to detect diseases successfully at an early stage or later
stage. To support these personnels to diagnose disease syndromes in infected plants, deep learning plays an important role. The machine based recognition system based on image processing not only saves time but also is more robust and efficient in comparison to manual assessment system. It
helps the growers to take timely steps involved in the judicious treatment of the concerned leaf diseases for crop protection. Maximizing the production or minimizing the production loss is the primary goal of automatic plant leaf disease recognition system. Following review presents some
leaf disease detection techniques.
Publisher
American Scientific Publishers
Subject
Electrical and Electronic Engineering,Computational Mathematics,Condensed Matter Physics,General Materials Science,General Chemistry
Cited by
8 articles.
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