DETECTION AND CLASSIFICATION DISEASE OF CITRUS FRUIT
PROF.KUNAL R AHIRE
, PRATIK GOSAVI , GANESH JADHAV , MANALI PATIL , JAGRUTI DAHIVADKAR
Machine Learning, Image Processing, Segmentation, Deep CNN
Citrus plants such as lemon are mainly affected by citrus canker disease which affects the fruit production of the plants. Early canker disease distinguishing proof is one of the troublesome answers for expanding the plant generation. Previous methods intend to recognize and order the infection malady precisely from the influenced leaf pictures by embracing picture handling methods to distinguish plant leaf sicknesses from computerized pictures. In proposed project, an image recognition method of citrus diseases based on deep learning is proposed. We built a citrus image data set including six common citrus diseases. The deep learning network is used to train and learn these images, which can effectively identify and classify crop diseases. In the experiment, we use Deep Learning model as the primary network and compare it with other network models in the aspect of speed, model size, accuracy. Results show that our method reduces the prediction time consumption and model size while keeping a good classification accuracy. Finally, we discuss the significance of using machine learning to identify and classify agricultural diseases in terminal, and put forward relevant suggestions.
"DETECTION AND CLASSIFICATION DISEASE OF CITRUS FRUIT", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.597 - 600, March-2023, Available :https://ijsdr.org/papers/IJSDR2303096.pdf
Volume 8
Issue 3,
March-2023
Pages : 597 - 600
Paper Reg. ID: IJSDR_204604
Published Paper Id: IJSDR2303096
Downloads: 000347268
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
