@article{3250,
  author = {Dipak P. Patil, Swapnil R. Kurkute, Pallavi S. Sonar, Svetlin I. Antonov},
  title = {Leafs based Image Analysis for Managing Chilli Diseases},
  journal = {Journal of Multimedia Processing and Technologies},
  year = {2021},
  volume = {12},
  number = {2},
  doi = {https://doi.org/10.6025/jmpt/2021/12/2/41-49},
  url = {https://www.dline.info/jmpt/fulltext/v12n2/jmptv12n2_2.pdf},
  abstract = {We analyse and present the results of the diseases detection of the plants. It has been revealed that the diseases frequently affect the production of Indian plants. To demonstrate our study, we took the chilli plants, the frequently used food item in India. Often the chilli plants are attached by microorganisms and pests. When the chilli plants are attached the
manifestation comes through the leaves, stems and fruits. Initially the researchers have used leaves, stems and fruits to detect the pest attacks. Leaves are basically tested to measure the attacks. So the images of the leaves are used to know the chilli diseases. Leaf detection helps to apply solutions and hence image processing techniques are used to detect the attacks. We
emphasize that the leaf images can beby used as effective data processing technique and it is proved to be less expensive. It also helps the formers to identifying the disease issues.},
}