How to cite (IEEE): F. Adhinata, N. Ramadhan, N. Tanjung, M. Fauzi, & N. Tanjung "A Combination of Transfer Learning and Support Vector Machine for Robust Classification on Small Weed and Potato Datasets," JOIV : International Journal on Informatics Visualization, vol. 7, no. 2, , pp. 535-541, Jun. 2023. https://doi.org/10.30630/joiv.7.2.1164

How to cite (APA): Adhinata, F., Ramadhan, N., Tanjung, N., Fauzi, M., & Tanjung, N. (2023). A Combination of Transfer Learning and Support Vector Machine for Robust Classification on Small Weed and Potato Datasets. JOIV : International Journal on Informatics Visualization, 7(2), 535-541. https://doi.org/10.30630/joiv.7.2.1164

How to cite (Chicago): Adhinata, Faisal, Ramadhan, Nur, Tanjung, Nia, Fauzi, Muhammad, AND Tanjung, Nia Annisa. "A Combination of Transfer Learning and Support Vector Machine for Robust Classification on Small Weed and Potato Datasets" JOIV : International Journal on Informatics Visualization [Online], Volume 7 Number 2 (23 June 2023) https://doi.org/10.30630/joiv.7.2.1164

How to cite (Vancouver): Adhinata F, Ramadhan N, Tanjung N, Fauzi M, & Tanjung N . A Combination of Transfer Learning and Support Vector Machine for Robust Classification on Small Weed and Potato Datasets. JOIV : International Journal on Informatics Visualization [Online]. 2023 Jun; 7(2):535-541. https://doi.org/10.30630/joiv.7.2.1164

How to cite (Harvard): Adhinata, F., Ramadhan, N., Tanjung, N., Fauzi, M., & Tanjung, N. ,2023. A Combination of Transfer Learning and Support Vector Machine for Robust Classification on Small Weed and Potato Datasets. JOIV : International Journal on Informatics Visualization, [Online] 7(2), pp. 535-541. https://doi.org/10.30630/joiv.7.2.1164

How to cite (MLA8): Adhinata, Faisal, Nur Ghaniaviyanto Ramadhan, Nia Annisa Ferani Tanjung, Muhammad Dzulfikar Fauzi, & Nia Annisa Ferani Tanjung. "A Combination of Transfer Learning and Support Vector Machine for Robust Classification on Small Weed and Potato Datasets." JOIV : International Journal on Informatics Visualization [Online], 7.2 (2023): 535-541. Web. 5 Dec. 2023 , https://doi.org/10.30630/joiv.7.2.1164

BibTex Citation Data :

@article{JOIV1164,
    	author = {Faisal Adhinata and Nur Ramadhan and Nia Tanjung and Muhammad Fauzi and Nia Annisa Tanjung},
    	title = {A Combination of Transfer Learning and Support Vector Machine for Robust Classification on Small Weed and Potato Datasets},
    	journal = {JOIV : International Journal on Informatics Visualization},
    	volume = {7},
    	number = {2},
    	year = {2023},
    	keywords = {Weed; potatoes; small dataset; machine learning; local and deep feature},
    	abstract = {Agriculture is the primary sector in Indonesia for meeting people's daily food demands. One of the agricultural commodities that replace rice is potatoes. Potato growth needs to be protected from weeds that compete for nutrients. Spraying using pesticides can cause environmental pollution, affecting cultivated plants. Currently, agricultural technology is being developed using an Artificial Intelligence (AI) approach to classifying crops. The classification process using AI depends on the number of datasets obtained. The number of datasets obtained in this research is not too large, so it requires a particular approach regarding the AI method used. This research aims to use a combination of feature extraction methods with local and deep feature approaches with supervised machine learning to classify of small datasets. The local feature method used in this research is Local Binary Pattern (LBP) and Histogram of Oriented Gradients (HOG), while the deep feature method used is MobileNet and MobileNetV2. The famous Support Vector Machine (SVM) uses the classification method to separate two data classes. The experimental results showed that the local feature HOG method was the fastest in the training process. However, the most accurate result was using the MobileNetV2 deep feature method with an accuracy of 98%. Deep features produced the best accuracy because the feature extraction process went through many neural network layers. This research can provide insight on how to analyze a small number of datasets by combining several strategies},
        	issn = {2549-9904},    	pages = {535--541},    	doi = {10.30630/joiv.7.2.1164},
        	url = {https://joiv.org/index.php/joiv/article/view/1164}
    }
    

Refworks Citation Data :

@article{{JOIV}{1164}, author = {Adhinata, F., Ramadhan, N., Tanjung, N., Fauzi, M., Tanjung, N.}, title = {A Combination of Transfer Learning and Support Vector Machine for Robust Classification on Small Weed and Potato Datasets}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {7}, number = {2}, year = {2023}, doi = {10.30630/joiv.7.2.1164}, url = {} }