A Deep Learning Approach for Lantana Camara Weed Detection and Localization in the Natural Environment

Author:

Hi Wie Kiang,Wibowo Santoso

Publisher

Springer International Publishing

Reference32 articles.

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2. Barik, S., Sahoo, R., Barik, S., Yadav, M.: Lantana camara L.: an emerging threat to native flora and livestock: a review. Int. J. Pharmacogn. Phytochem. Res. 2363–2366 (2020)

3. Diaz, J.: The ham and eggs plant, lantana camara. Wilderness Environ. Med. 28 (2017)

4. Dejene, S., Weldemariam, E., Seid, A., Famo, F.W.: Modeling invasion potential of lantana camara under the changing climate and land use/land cover change in Ethiopia: its implication for management of the species. Plant Biosyst. (2020)

5. Llewellyn, R., Ronning, D., Clarke, M., Mayfield, A., Walker, S., Ouzman, J.: Impact of Weeds in Australian Grain Production. Grains Research and Development Corporation, Canberra, ACT, Australia (2016)

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2. Horticulture image based weed detection in feature extraction with dimensionality reduction using deep learning architecture;2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP);2023-03-18

3. Lantana Camara Flower Detection Using an Improved Lightweight Convolutional Neural Networks in YOLOv5;2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE);2022-12-18

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