• RAHAJANIAINA
• RATIARISON

Plant health take a place important in the life of humanity. Developing country like Madagascar has an economy based on the agriculture. Or, the majority of developing country face of lack agricultural infrastructures and specialists. The farmer uses archaic technical and this has an impact to the agricultural products and the environment. In fact, several plants are at the risk of extermination because of the diseases or human activity. So, it is crucial to setup an application for classifying plant leaf disease. The aim of this study is to perform a model for image classification that can help people indeed the farmer determine the kind of plant leaf disease based on lightweight device. Thus, we propose a lightweight deep learning-based model inspired from the architecture of SSDLiteX. The Balancing technical was used. After experiments, our model achieves 100% of accuracy and validation accuracy. The F1-score is 99.44%. The results demonstrate that the proposed model is reliable and answer the need of the agriculture and environment domains.

leaf disease, lightweight deep learning model, leaf classification.

"PLANT LEAF DISEASE CLASSIFICATION USING A LIGHTWEIGHT MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.f225-f229, November-2024, Available :http://www.jetir.org/papers/JETIR2411525.pdf

"PLANT LEAF DISEASE CLASSIFICATION USING A LIGHTWEIGHT MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppf225-f229, November-2024, Available at : http://www.jetir.org/papers/JETIR2411525.pdf