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 …
Deep learning in wheat diseases classification: A systematic review
The main goal of this paper is to review systematically the recent studies that have been
published and discussed WD prediction models. The literature analysis is performed based …
published and discussed WD prediction models. The literature analysis is performed based …
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 …
Recognition of leaf disease using hybrid convolutional neural network by applying feature reduction
Agriculture is crucial to the economic prosperity and development of India. Plant diseases
can have a devastating influence towards food safety and a considerable loss in the …
can have a devastating influence towards food safety and a considerable loss in the …
Plant disease identification using a novel convolutional neural network
The timely identification of plant diseases prevents the negative impact on crops.
Convolutional neural network, particularly deep learning is used widely in machine vision …
Convolutional neural network, particularly deep learning is used widely in machine vision …
Cassava disease recognition from low‐quality images using enhanced data augmentation model and deep learning
Improvement of deep learning algorithms in smart agriculture is important to support the
early detection of plant diseases, thereby improving crop yields. Data acquisition for …
early detection of plant diseases, thereby improving crop yields. Data acquisition for …
AI-driven framework for recognition of guava plant diseases through machine learning from DSLR camera sensor based high resolution imagery
Plant diseases can cause a considerable reduction in the quality and number of agricultural
products. Guava, well known to be the tropics' apple, is one significant fruit cultivated in …
products. Guava, well known to be the tropics' apple, is one significant fruit cultivated in …
Recognizing apple leaf diseases using a novel parallel real‐time processing framework based on MASK RCNN and transfer learning: An application for smart …
Effective recognition of fruit leaf diseases has a substantial impact on agro‐based
economies. Several fruit diseases exist that badly impact the yield and quality of fruits. A …
economies. Several fruit diseases exist that badly impact the yield and quality of fruits. A …
Corn leaf diseases diagnosis based on K-means clustering and deep learning
H Yu, J Liu, C Chen, AA Heidari, Q Zhang… - IEEE …, 2021 - ieeexplore.ieee.org
Accurate diagnosis of corn crop diseases is a complex challenge faced by farmers during
the growth and production stages of corn. In order to address this problem, this paper …
the growth and production stages of corn. In order to address this problem, this paper …
DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection
Plant-leaf disease detection is one of the key problems of smart agriculture which has a
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …