Harumanis Mango Leaves and UAV Treetop Imagery Dataset for Advanced Agricultural Imaging and Analysis

Published: 15 September 2025| Version 1 | DOI: 10.17632/cyrwscvwsy.1
Contributors:
NIK AFIQAH YANI, Shukor Sanim Mohd Fauzi, Nurul Ain Mohd Zaki, Mohammad Hafiz Ismail, Khairulazhar Zainuddin

Description

Crop name: Harumanis Mango (MA 128) Scientific name: Mangifera indica L. Site location: Universiti Teknologi MARA (UiTM) Perlis Branch, 02600 Arau, Malaysia Site area: ~12.63 hectares Coordinates: - Longitude: 100°17'2.02"E - Latitude: 6°27'26.83'N Climate (as of 2024): - Average daily temperature: 30°C–33°C - Average nighttime temperature: 24°C–26°C - Annual rainfall: ~1952 mm Plot selected: Plots B, C, and D (chosen based on crop age and tree condition) Tree details: - Plot B: Planted in 2010, 60 trees, 14 years old. - Plot C: Planted in 2013, 40 trees, 11 years old. - Plot D: Planted in 2015, 40 trees, 9 years old. - Total: 140 trees selected. Sampling details: Leaves per tree: 40–45 Total leaves collected: Large-scale dataset (~6,262 leaves)

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If you use this dataset in academic paper, please cite: N.Ahmad Yani, N. A., Mohd Zaki, N. A., Mohd Fauzi, S. S., Nik Nazmy, N. S. S., Ismail, M. H., Abd Latip, N. F., Ramli, N., & Abdul Rahman, N. N. (2024). An Integrated Approach: Watershed Segmentation with Local Maxima and Minima Algorithms for Tree Crown Delineation of Mango (Mangifera indica) using UAV Multispectral Imagery. Journal of Advanced Research in Applied Sciences and Engineering Technology, 55(1), 44–62. https://doi.org/10.37934/araset.55.1.4462 Yani, N. A. N. A., Fauzi, S. S. M., Zaki, N. A. M., & Ismail, M. H. (2024). A systematic literature review on leaf disease recognition using computer vision and deep learning approach. Journal of Information Systems Engineering and Business Intelligence, 10(2), 232–249. https://doi.org/10.20473/jisebi.10.2.232-249

Categories

Crop Science, Computer Vision, Remote Sensing, Image Processing, Image Segmentation, Machine Learning, Precision Agriculture, Plant Diseases, Drone (Aircraft), Agriculture

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