Recognition of jute diseases by leaf image classification using convolutional neural network
As Convolutional Neural Network (CNN) is achieving the state-of-the-art in the field of image
classification, this research work focuses on the finding prominent accuracy of the jute leaf …
classification, this research work focuses on the finding prominent accuracy of the jute leaf …
Applications of computer vision in plant pathology: a survey
The real-time decision support system can enhance the crop or plant growth, therefore,
increasing their productivity, quality, and economic value. This also helps us in serving the …
increasing their productivity, quality, and economic value. This also helps us in serving the …
Potato plant leaves disease detection and classification using machine learning methodologies
Agriculture is one of the essential sectors for the survival of humankind. At the same time,
digitalization touching across all the fields that became easier to handle various difficult …
digitalization touching across all the fields that became easier to handle various difficult …
Plant leaf disease classification and detection system using machine learning
In a developing country like India agriculture plays a noteworthy role. Agricultural
intervention in the livelihood of rural India indulges by about 58%. Among the agricultural …
intervention in the livelihood of rural India indulges by about 58%. Among the agricultural …
Detection and classification of groundnut leaf nutrient level extraction in RGB images
M Janani, R Jebakumar - Advances in Engineering Software, 2023 - Elsevier
In agriculture, identifying the deficient or excess nutrients in the leaf is a significant concern
for attaining the higher yield and productivity of any crop. Several image processing …
for attaining the higher yield and productivity of any crop. Several image processing …
Using a multi-convolutional neural network to automatically identify small-sample tea leaf diseases
G Hu, M Fang - Sustainable Computing: Informatics and Systems, 2022 - Elsevier
Tea leaf disease is a factor leading to the decline of tea quality and yield. In this study, a
multi-convolutional neural network (CNN) model, MergeModel, combined with diseased leaf …
multi-convolutional neural network (CNN) model, MergeModel, combined with diseased leaf …
Wheat stem rust leaf disease detection using image processing
BKMA Al-windi, AH Abbas, MS Mahmood - Materials Today: Proceedings, 2023 - Elsevier
New method for Detection wheat stem rust disease using Image processing methods,
Converting RGB image To Hue Saturation Value then setting HSV parameters for …
Converting RGB image To Hue Saturation Value then setting HSV parameters for …
Recognition of tomato leaf diseases based on DIMPCNET
D Peng, W Li, H Zhao, G Zhou, C Cai - Agronomy, 2023 - mdpi.com
The identification of tomato leaf diseases is easily affected by complex backgrounds, small
differences between different diseases, and large differences between the same diseases …
differences between different diseases, and large differences between the same diseases …
[PDF][PDF] Recognition of Image-Based Plant Leaf Diseases Using Deep Learning Classification Models.
Plant diseases are spread by a variety of pests, weeds, and pathogens and may have a
devastating effect on agriculture, if not handled in a timely manner. Farmers face umpteen …
devastating effect on agriculture, if not handled in a timely manner. Farmers face umpteen …
A machine learning technique for identification of plant diseases in leaves
Plant diseases are the common reason for low yield and reduced income to the farmers.
Currently, researchers are trying their best to find a mechanism that automatically detects the …
Currently, researchers are trying their best to find a mechanism that automatically detects the …