A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools
Several factors associated with disease diagnosis in plants using deep learning techniques
must be considered to develop a robust system for accurate disease management. A …
must be considered to develop a robust system for accurate disease management. A …
Plant diseases and pests detection based on deep learning: a review
J Liu, X Wang - Plant Methods, 2021 - Springer
Plant diseases and pests are important factors determining the yield and quality of plants.
Plant diseases and pests identification can be carried out by means of digital image …
Plant diseases and pests identification can be carried out by means of digital image …
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …
large amount of data to achieve exceptional performance. Unfortunately, many applications …
A novel deep learning model for detection of severity level of the disease in citrus fruits
Citrus fruit diseases have an egregious impact on both the quality and quantity of the citrus
fruit production and market. Automatic detection of severity is essential for the high-quality …
fruit production and market. Automatic detection of severity is essential for the high-quality …
Plant disease detection and classification by deep learning—a review
L Li, S Zhang, B Wang - IEEE Access, 2021 - ieeexplore.ieee.org
Deep learning is a branch of artificial intelligence. In recent years, with the advantages of
automatic learning and feature extraction, it has been widely concerned by academic and …
automatic learning and feature extraction, it has been widely concerned by academic and …
[HTML][HTML] Transfer learning for multi-crop leaf disease image classification using convolutional neural network VGG
AS Paymode, VB Malode - Artificial Intelligence in Agriculture, 2022 - Elsevier
In recent times, the use of artificial intelligence (AI) in agriculture has become the most
important. The technology adoption in agriculture if creatively approached. Controlling on …
important. The technology adoption in agriculture if creatively approached. Controlling on …
Review on convolutional neural network (CNN) applied to plant leaf disease classification
J Lu, L Tan, H Jiang - Agriculture, 2021 - mdpi.com
Crop production can be greatly reduced due to various diseases, which seriously endangers
food security. Thus, detecting plant diseases accurately is necessary and urgent. Traditional …
food security. Thus, detecting plant diseases accurately is necessary and urgent. Traditional …
An advanced deep learning models-based plant disease detection: A review of recent research
Plants play a crucial role in supplying food globally. Various environmental factors lead to
plant diseases which results in significant production losses. However, manual detection of …
plant diseases which results in significant production losses. However, manual detection of …
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 …
Plant leaf disease classification using EfficientNet deep learning model
Most plant diseases show visible symptoms, and the technique which is accepted today is
that an experienced plant pathologist diagnoses the disease through optical observation of …
that an experienced plant pathologist diagnoses the disease through optical observation of …