Tomato plant disease classification in digital images using classification tree
The applications based on image processing for plant disease recognition and classification
is the wide area of research these days. These applications are useful for timely recognition …
is the wide area of research these days. These applications are useful for timely recognition …
Image recognition of plant diseases based on backpropagation networks
H Wang, G Li, Z Ma, X Li - 2012 5th International Congress on …, 2012 - ieeexplore.ieee.org
To achieve automatic diagnosis of plant diseases and improve the image recognition
accuracy of plant diseases, two kinds of grape diseases (grape downy mildew and grape …
accuracy of plant diseases, two kinds of grape diseases (grape downy mildew and grape …
Crop leaf disease grade identification based on an improved convolutional neural network
T Fang, P Chen, J Zhang… - Journal of Electronic …, 2020 - spiedigitallibrary.org
To achieve high yield of crops and to avoid pesticide abuse, different control methods have
been adopted according to different degrees of disease in crop plants. To address the issue …
been adopted according to different degrees of disease in crop plants. To address the issue …
Image recognition of plant diseases based on principal component analysis and neural networks
H Wang, G Li, Z Ma, X Li - 2012 8th International Conference …, 2012 - ieeexplore.ieee.org
Plant disease identification based on image processing could quickly and accurately
provide useful information for the prediction and control of plant diseases. In this study, 21 …
provide useful information for the prediction and control of plant diseases. In this study, 21 …
Detection and measurement of plant disease symptoms using visible-wavelength photography and image analysis.
Plant disease detection and severity assessment are required for many purposes, including
predicting yield loss, monitoring and forecasting epidemics, judging host resistance and for …
predicting yield loss, monitoring and forecasting epidemics, judging host resistance and for …
Application of neural networks to image recognition of plant diseases
H Wang, G Li, Z Ma, X Li - 2012 International conference on …, 2012 - ieeexplore.ieee.org
Digital image recognition of plant diseases could reduce the dependence of agricultural
production on the professional and technical personnel in plant protection field and is …
production on the professional and technical personnel in plant protection field and is …
Image recognition of grape downy mildew and grape powdery mildew based on support vector machine
G Li, Z Ma, H Wang - … and Computing Technologies in Agriculture V: 5th …, 2012 - Springer
In order to realize automatic disease diagnosis and provide related information for disease
prediction and control timely and accurately, the identification and diagnosis of grape downy …
prediction and control timely and accurately, the identification and diagnosis of grape downy …
[PDF][PDF] Intensity based feature extraction for tomato plant disease recognition by classification using decision tree
The research work in the area of automation of plant disease recognition using computer
vision is widely growing extensively. The study proposed and conducted in the paper is …
vision is widely growing extensively. The study proposed and conducted in the paper is …
[PDF][PDF] Fuzzy and neural network based tomato plant disease classification using natural outdoor images
Objectives: The aim of the study is to automate the plant disease recognition and
classification process by using image processing and soft computing techniques …
classification process by using image processing and soft computing techniques …
Recognition of cucumber diseases based on leaf image and environmental information
X Wang, S Zhang, Z Wang… - Transactions of the …, 2014 - ingentaconnect.com
Crop disease is one of the main disasters for Chinese agriculture and it seriously affects the
yield and quality of crops, and causes economic losses to farmers. Early detection and …
yield and quality of crops, and causes economic losses to farmers. Early detection and …