ALGORITMA RESNET152V2 IN PERFORMING DISEASE CLASSIFICATION ON TOMATO PLANT LEAVES
DOI:
https://doi.org/10.54840/jcstech.v3i2.192Keywords:
Tomato Leaf Disease, Deep Learning, ResNet152V2Abstract
Disease on tomato leaves is one of the most common problems in tomato cultivation. Identification of diseases on tomato leaves is important in disease control and plant protection. In this study, the image recognition method was used using the ResNet152V2 model. The results of this study indicate that the method using ResNet152V2 is able to achieve an accuracy rate of 97% in classifying diseases on tomato leaves. This shows that the use of artificial intelligence technology such as ResNet152V2 can be an effective tool and has the potential to become an efficient solution in controlling diseases in tomato plants and supporting increased crop production in a sustainable manner.
References
Bareham, L. (2011). The Big Red Book of Tomatoes. Grub Street.
Eriawati, E. (2015). Pemanfaatan Jenis Tumbuhan Dari Famili Solanaceae Sebagai Media Pembelajaran Biologi Pada Sub Konsep Klasifikasi Tumbuhan Di Smp Negeri 1 Simpang Tiga Kabupaten Aceh Besar. BIOTIK (Prosiding Seminar Nasional Biologi, Teknologi, dan Kependidikan), 3(1). http://dx.doi.org/10.22373/pbio.v3i1.2718
Gevens, A., & Wilbur, J. (2023, August). Tomato Late Blight – UW Vegetable Pathology – UW–Madison. UW Vegetable Pathology. Retrieved September 16, 2023, from https://vegpath.plantpath.wisc.edu/diseases/tomato-late-blight/
Grabowski, M. (2018). Tomato leaf spot diseases | UMN Extension. University of Minnesota Extension. Retrieved September 10, 2023, from https://extension.umn.edu/plant-diseases/tomato-leaf-spot-diseases
He, K., Zhang, X., Ren, S., & Sun, J. (2015). Deep Residual Learning for Image Recognition.Computer Vision and Pattern Recognition.https://doi.org/10.48550/arXiv.1512.03385
Jordan, M. A. (2015). The Good Cook's Book of Tomatoes: A New World Discovery and Its Old World Impact, with More Than 150 Recipes. Skyhorse.
Lu, Z., Wang, J., Gao, R., Ye, F., & Zhao, G. (2019, April). Sustainable valorisation of tomato pomace: A comprehensive review. Trends in Food Science & Technology, 86, 172-187. https://doi.org/10.1016/j.tifs.2019.02.020
Preedy, V. R., & Watson, R. R. (Eds.). (2019). Tomatoes and Tomato Products: Nutritional, Medicinal and Therapeutic Properties. CRC Press.
Rao, A. V., Young, G. L., & Rao, L. G. (Eds.). (2018). Lycopene and Tomatoes in Human Nutrition and Health. Taylor & Francis Group.
Robbins, S. L. (1992). Buku ajar patalogi 11 (basic pathology part 1). Penerbit Buku Kedokteran.
Sapriyanti, R., Nurhartadi, E., & Ishartani, D. (2014). Karakteristik Fisikokimia Dan Sensori Velva Tomat (Lycopersicum Esculentum Mill) Dengan Pemanis Madu Physicochemical And Sensory. Jurnal Teknologi Hasil Pertanian, 7(1). https://doi.org/10.20961/jthp.v0i0.12920
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Journal of Computer Science and Technology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
