Summary of Leaf-based plant disease detection systems: A compilation of systematic study findings to classify the leaf disease classification schemes

Jogekar, Ravindra; Tiwari, Nandita

doi:10.1109/worlds450073.2020.9210401

Cited by 13 publications

(1 citation statement)

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“…Ravindra Jogekar et al [4] referred "Unconventional technique for improving farmer yields by exposing and mitigating foliage diseases in an extensively adaptable deep learning and computational model through microbiological vegetation assessment." This article further contrasts the current scheme with other state-of-the-art systems, and it is observed that by retaining a mild algorithmic complexity Ravindra Jogekar et al [5]suggested in his research work Summary of Leaf-based plant disease detection systems: A compilation of systematic study findings to classify the leaf disease classification schemes diagnosis diseases For example, some of the diseases affecting banana leaf include Fusarium oxysporum, Mycosphaerella musicola, Gloeospo rium musae, Erwinia Carotovora, Pseudomonas Solanaceanim, Pentalonia nigronervosa, Erionota thrax, BSV and BBM Virus.…”

Section: Literature Reviewmentioning

confidence: 92%

Identification of Leaf Disease and Diagnosis

2023

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Agricultural productivity is something on which economy highly depends. This is the one of the reasons that disease detection in plants plays an important role in agriculture field, as having disease in plants are quite natural. If proper care is not taken in this area then it causes serious effects on plants and due to which respective product quality, quantity or productivity is affected. Detection of plant disease through some automatic technique is beneficial as it reduces a large work of monitoring in big farms of crops, and at very early stage itself it detects the symptoms of diseases i.e. when they appear on plant leaves. This paper presents an algorithm for image segmentation technique which is used for automatic detection and classification of plant leaf diseases. It also covers survey on different diseases classification techniques that can be used for plant leaf disease detection. Image segmentation, which is an important aspect for disease detection in plant leaf disease, is done by using genetic algorithm.

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Section: Literature Reviewmentioning

confidence: 92%