Efficient extraction of deep image features using convolutional neural network (CNN) for applications in detecting and analysing complex food matrices
Background The development of techniques and methods for rapidly and reliably detecting
and analysing food quality and safety products is of significance for the food industry …
and analysing food quality and safety products is of significance for the food industry …
Leaf disease detection using machine learning and deep learning: Review and challenges
Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
An improved YOLOv5 model based on visual attention mechanism: Application to recognition of tomato virus disease
J Qi, X Liu, K Liu, F Xu, H Guo, X Tian, M Li… - … and electronics in …, 2022 - Elsevier
Traditional target detection methods cannot effectively screen key features, which leads to
overfitting and produces a model with a weak generalization ability. In this paper, an …
overfitting and produces a model with a weak generalization ability. In this paper, an …
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 …
Rice plant disease classification using color features: a machine learning paradigm
VK Shrivastava, MK Pradhan - Journal of Plant Pathology, 2021 - Springer
In traditional practices, detection of rice plant diseases by experts is a subjective matter
whereas by testing in the laboratory is time-consuming. As a consequence, it causes …
whereas by testing in the laboratory is time-consuming. As a consequence, it causes …
Recognition of rice leaf diseases and wheat leaf diseases based on multi-task deep transfer learning
Z Jiang, Z Dong, W Jiang, Y Yang - Computers and Electronics in …, 2021 - Elsevier
More than two-thirds of human in the world view rice or wheat as their diet, rice and wheat
are grown in some regions of China and other countries in Asian. However, a variety of …
are grown in some regions of China and other countries in Asian. However, a variety of …
RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism
Y Zhao, C Sun, X Xu, J Chen - computers and Electronics in Agriculture, 2022 - Elsevier
In this paper, we proposed a convolutional neural network based on Inception and residual
structure with an embedded modified convolutional block attention module (CBAM), aiming …
structure with an embedded modified convolutional block attention module (CBAM), aiming …
[Retracted] Hybrid Feature‐Based Disease Detection in Plant Leaf Using Convolutional Neural Network, Bayesian Optimized SVM, and Random Forest Classifier
AK Singh, SVN Sreenivasu, U Mahalaxmi… - Journal of Food …, 2022 - Wiley Online Library
Plant diseases are unfavourable factors that cause a significant decrease in the quality and
quantity of crops. Experienced biologists or farmers often observe plants with the naked eye …
quantity of crops. Experienced biologists or farmers often observe plants with the naked eye …
A two-stage deep-learning based segmentation model for crop disease quantification based on corn field imagery
It is important to develop accurate disease management systems to identify and segment
corn disease lesions and estimate their severity under complex field conditions. Although …
corn disease lesions and estimate their severity under complex field conditions. Although …
Identification of disease using deep learning and evaluation of bacteriosis in peach leaf
Bacteriosis is one of the most common and devastating diseases for peach crops all over the
world. Timely identification of bacteriosis disease is necessary for reducing the usage of …
world. Timely identification of bacteriosis disease is necessary for reducing the usage of …