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 …
[PDF][PDF] Artificial intelligence in agriculture: A literature survey
G Bannerjee, U Sarkar, S Das… - international Journal of …, 2018 - researchgate.net
This paper presents a comprehensive literature survey on the applications of artificial
intelligence techniques in agriculture. The domain of agriculture faces many challenges …
intelligence techniques in agriculture. The domain of agriculture faces many challenges …
Identification of plant-leaf diseases using CNN and transfer-learning approach
The timely identification and early prevention of crop diseases are essential for improving
production. In this paper, deep convolutional-neural-network (CNN) models are …
production. In this paper, deep convolutional-neural-network (CNN) models are …
Identification of plant leaf diseases using a nine-layer deep convolutional neural network
G Geetharamani, A Pandian - Computers & Electrical Engineering, 2019 - Elsevier
In this paper, we proposed a novel plant leaf disease identification model based on a deep
convolutional neural network (Deep CNN). The Deep CNN model is trained using an open …
convolutional neural network (Deep CNN). The Deep CNN model is trained using an open …
FormerLeaf: An efficient vision transformer for Cassava Leaf Disease detection
Leaf diseases have become more prevalent in recent years due to climate change,
increased growth of outdoor air pollutants, and global warming. They may severely damage …
increased growth of outdoor air pollutants, and global warming. They may severely damage …
Identification and recognition of rice diseases and pests using convolutional neural networks
Accurate and timely detection of diseases and pests in rice plants can help farmers in
applying timely treatment on the plants and thereby can reduce the economic losses …
applying timely treatment on the plants and thereby can reduce the economic losses …
Deep neural networks based recognition of plant diseases by leaf image classification
The latest generation of convolutional neural networks (CNNs) has achieved impressive
results in the field of image classification. This paper is concerned with a new approach to …
results in the field of image classification. This paper is concerned with a new approach to …
SVM classifier based grape leaf disease detection
PB Padol, AA Yadav - 2016 Conference on advances in signal …, 2016 - ieeexplore.ieee.org
Grape constitutes one of the most widely grown fruit crops in the India. Productivity of grape
decreases due to infections caused by various types of diseases on its fruit, stem and leaf …
decreases due to infections caused by various types of diseases on its fruit, stem and leaf …
Rice plant disease classification using dilated convolutional neural network with global average pooling
The Indian economy is thought to be primarily dependent on agriculture. In plants with
various climatic circumstances, illness is highly prevalent and natural. As a result, the quality …
various climatic circumstances, illness is highly prevalent and natural. As a result, the quality …
Cotton leaf disease identification using pattern recognition techniques
PR Rothe, RV Kshirsagar - 2015 International conference on …, 2015 - ieeexplore.ieee.org
Leaf diseases on cotton plant must be identified early and accurately as it can prove
detrimental to the yield. The proposed work presents a pattern recognition system for …
detrimental to the yield. The proposed work presents a pattern recognition system for …