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 …
Plant diseases recognition on images using convolutional neural networks: A systematic review
Plant diseases are considered one of the main factors influencing food production and
minimize losses in production, and it is essential that crop diseases have fast detection and …
minimize losses in production, and it is essential that crop diseases have fast detection and …
[HTML][HTML] Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network
Plants are susceptive to various diseases in their growing phases. Early detection of
diseases in plants is one of the most challenging problems in agriculture. If the diseases are …
diseases in plants is one of the most challenging problems in agriculture. If the diseases are …
Attention embedded residual CNN for disease detection in tomato leaves
Automation in plant disease detection and diagnosis is one of the challenging research
areas that has gained significant attention in the agricultural sector. Traditional disease …
areas that has gained significant attention in the agricultural sector. Traditional disease …
[HTML][HTML] Disease detection in apple leaves using deep convolutional neural network
The automatic detection of diseases in plants is necessary, as it reduces the tedious work of
monitoring large farms and it will detect the disease at an early stage of its occurrence to …
monitoring large farms and it will detect the disease at an early stage of its occurrence to …
[HTML][HTML] Challenges and opportunities in machine-augmented plant stress phenotyping
Plant stress phenotyping is essential to select stress-resistant varieties and develop better
stress-management strategies. Standardization of visual assessments and deployment of …
stress-management strategies. Standardization of visual assessments and deployment of …
Convolutional neural networks for texture feature extraction. Applications to leaf disease classification in precision agriculture
This paper studies the use of deep-learning models (AlexNet, VggNet, ResNet) pre-trained
on object categories (ImageNet) in applied texture classification problems such as plant …
on object categories (ImageNet) in applied texture classification problems such as plant …
A novel framework for image-based plant disease detection using hybrid deep learning approach
The agriculture sector contributes significantly to the economic growth of a country.
However, plant diseases are one of the leading causes of crop destruction that decreases …
However, plant diseases are one of the leading causes of crop destruction that decreases …
[HTML][HTML] Deep learning application in plant stress imaging: a review
Plant stress is one of major issues that cause significant economic loss for growers. The
labor-intensive conventional methods for identifying the stressed plants constrain their …
labor-intensive conventional methods for identifying the stressed plants constrain their …
Leaf image-based plant disease identification using color and texture features
Identification of plant disease is usually done through visual inspection or during laboratory
examination which causes delays resulting in yield loss by the time identification is …
examination which causes delays resulting in yield loss by the time identification is …