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 …
Deep learning for medical image-based cancer diagnosis
Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …
diagnosis. To help readers better understand the current research status and ideas, this …
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] Performance analysis of deep learning CNN models for disease detection in plants using image segmentation
P Sharma, YPS Berwal, W Ghai - Information Processing in Agriculture, 2020 - Elsevier
Food security for the 7 billion people on earth requires minimizing crop damage by timely
detection of diseases. Most deep learning models for automated detection of diseases in …
detection of diseases. Most deep learning models for automated detection of diseases in …
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 …
Artificial intelligence in tomato leaf disease detection: a comprehensive review and discussion
R Thangaraj, S Anandamurugan, P Pandiyan… - Journal of Plant …, 2022 - Springer
Accurate and fast tomato plant disease identification is significant to enhance its sustainable
agricultural productivity. In the conventional technique, human experts in the field of …
agricultural productivity. In the conventional technique, human experts in the field of …
A deep learning approach to measure stress level in plants due to Nitrogen deficiency
Stress due to nutrients deficiency in plants can reduce the agricultural yield significantly.
Nitrogen, an essential nutrient, is a crucial growth-limiting factor and is the prime component …
Nitrogen, an essential nutrient, is a crucial growth-limiting factor and is the prime component …
Tomato disease detection and classification by deep learning
H Hong, J Lin, F Huang - … on Big Data, Artificial Intelligence and …, 2020 - ieeexplore.ieee.org
Tomato is widely cultivated in China as a kind of fruit or vegetable. In the whole growth cycle
of tomatoes, there are many types of tomato diseases and pests, therefore, the detection and …
of tomatoes, there are many types of tomato diseases and pests, therefore, the detection and …
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 …
Botanicx-ai: Identification of tomato leaf diseases using an explanation-driven deep-learning model
Early and accurate tomato disease detection using easily available leaf photos is essential
for farmers and stakeholders as it help reduce yield loss due to possible disease epidemics …
for farmers and stakeholders as it help reduce yield loss due to possible disease epidemics …