Computer Vision for Plant Disease Recognition: A Comprehensive Review
Agriculture has undergone a remarkable transformation, transitioning from traditional
methods that were used for centuries to technology-driven practices. The advent of image …
methods that were used for centuries to technology-driven practices. The advent of image …
[HTML][HTML] Identification of olive leaf disease through optimized deep learning approach
The production of olives in Saudi Arabia, which accounts for around 6% of worldwide output,
is regarded as one of the best in the world. Because olive trees are rain-fed and produced …
is regarded as one of the best in the world. Because olive trees are rain-fed and produced …
A comprehensive review on crop disease prediction based on machine learning and deep learning techniques
Leaf diseases cause direct crop losses in agriculture, and farmers cannot detect the disease
early. If the diseases are not detected early and correctly, the farmer must undergo huge …
early. If the diseases are not detected early and correctly, the farmer must undergo huge …
Multilevel thresholding for crop image segmentation based on recursive minimum cross entropy using a swarm-based technique
The segmentation of crop images is the most sought-after technology in the field of computer
vision and pattern recognition. The multilevel thresholding (MLT) of crop images is a tedious …
vision and pattern recognition. The multilevel thresholding (MLT) of crop images is a tedious …
Semantic segmentation of cucumber leaf disease spots based on ECA-SegFormer
R Yang, Y Guo, Z Hu, R Gao, H Yang - Agriculture, 2023 - mdpi.com
Accurate semantic segmentation of disease spots is critical in the evaluation and treatment
of cucumber leaf damage. To solve the problem of poor segmentation accuracy caused by …
of cucumber leaf damage. To solve the problem of poor segmentation accuracy caused by …
A novel fuzzy-based modified GAN and faster RCNN for classification of banana leaf disease
NB Raja, PS Rajendran - Journal of The Institution of Engineers (India) …, 2023 - Springer
In the global marketplace, agriculture plays an important role. However, diseases produced
in plants mostly affect the financial system. Pest occurrence and climatic changes are the …
in plants mostly affect the financial system. Pest occurrence and climatic changes are the …
Segmentation of cotton leaf images using a modified chan vese method
BM Patil, V Burkpalli - Multimedia Tools and Applications, 2022 - Springer
Segmenting the leaf images from the complex background is the current research topic. So,
in this paper, we propose an algorithm to segment the leaf image from the natural …
in this paper, we propose an algorithm to segment the leaf image from the natural …
[PDF][PDF] Comparison of color-based feature extraction methods in banana leaf diseases classification using SVM and K-NN
In Malaysia, banana is a top fruit production which contribute to the economy growth in
agriculture field. Hence, it is significant to have a quality production of banana and important …
agriculture field. Hence, it is significant to have a quality production of banana and important …
Semantic segmentation of microbial alterations based on SegFormer
WM Elmessery, DV Maklakov, TM El-Messery… - Frontiers in Plant …, 2024 - frontiersin.org
Introduction Precise semantic segmentation of microbial alterations is paramount for their
evaluation and treatment. This study focuses on harnessing the SegFormer segmentation …
evaluation and treatment. This study focuses on harnessing the SegFormer segmentation …
Disease detection in banana leaf plants using densenet and inception method
Diseases that attack banana plants can affect the growth and productivity of the fruit
produced. The disease can be identified by looking at changes in the pattern and color of …
produced. The disease can be identified by looking at changes in the pattern and color of …