Trends in vision-based machine learning techniques for plant disease identification: A systematic review
Globally, all the major crops are significantly affected by diseases every year, as manual
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …
An automated detection and classification of citrus plant diseases using image processing techniques: A review
The citrus plants such as lemons, mandarins, oranges, tangerines, grapefruits, and limes are
commonly grown fruits all over the world. The citrus producing companies create a large …
commonly grown fruits all over the world. The citrus producing companies create a large …
Deep learning system for paddy plant disease detection and classification
Automatic detection and analysis of rice crop diseases is widely required in the farming
industry, which can be utilized to avoid squandering financial and other resources, reduce …
industry, which can be utilized to avoid squandering financial and other resources, reduce …
[HTML][HTML] Rice blast disease recognition using a deep convolutional neural network
W Liang, H Zhang, G Zhang, H Cao - Scientific reports, 2019 - nature.com
Rice disease recognition is crucial in automated rice disease diagnosis systems. At present,
deep convolutional neural network (CNN) is generally considered the state-of-the-art …
deep convolutional neural network (CNN) is generally considered the state-of-the-art …
A transfer learning-based artificial intelligence model for leaf disease assessment
The paddy crop is the most essential and consumable agricultural produce. Leaf disease
impacts the quality and productivity of paddy crops. Therefore, tackling this issue as early as …
impacts the quality and productivity of paddy crops. Therefore, tackling this issue as early as …
Image processing techniques for diagnosing rice plant disease: a survey
Over the past decades, rice crops are crucially admitted as one of the powerful energy
streams for the production of resources. Rice plant diseases are considered as a raising …
streams for the production of resources. Rice plant diseases are considered as a raising …
Automatic identification of diseases in grains crops through computational approaches: A review
R Manavalan - Computers and Electronics in Agriculture, 2020 - Elsevier
Agricultural productivity significantly contributes to every country's economy. The grain
plants such as wheat, rice, corn (maize), barley, oats, rye, millet, and sorghum are commonly …
plants such as wheat, rice, corn (maize), barley, oats, rye, millet, and sorghum are commonly …
Multiclass Paddy Disease Detection Using Filter Based Feature Transformation Technique
Pests and diseases are the big issues in paddy production and they make the farmers to
lose around 20% of rice yield world-wide. Identification of rice leaves diseases at early stage …
lose around 20% of rice yield world-wide. Identification of rice leaves diseases at early stage …
Designing self attention-based ResNet architecture for rice leaf disease classification
A Stephen, A Punitha, A Chandrasekar - Neural Computing and …, 2023 - Springer
In India, rice crops are very significant. Rice cultivation comprises several phases, and it is
crucial to keep an eye on the crop's development to avoid any leaf diseases and to provide a …
crucial to keep an eye on the crop's development to avoid any leaf diseases and to provide a …
Collaboration of features optimization techniques for the effective diagnosis of glaucoma in retinal fundus images
Glaucoma is the second most common cause of vision loss. Manual screening of a patient's
eye or screening through a fundus image of the patient's eye requires expert …
eye or screening through a fundus image of the patient's eye requires expert …