{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T23:33:17Z","timestamp":1781566397431,"version":"3.54.5"},"reference-count":64,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2020,8,31]],"date-time":"2020-08-31T00:00:00Z","timestamp":1598832000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Key Research and Development Program of China","award":["2017YFC1200100"],"award-info":[{"award-number":["2017YFC1200100"]}]},{"name":"the Natural Science Foundation of China","award":["41601181"],"award-info":[{"award-number":["41601181"]}]},{"DOI":"10.13039\/501100017691","name":"Guangxi key research and development program","doi-asserted-by":"publisher","award":["Gui Ke AB19245040"],"award-info":[{"award-number":["Gui Ke AB19245040"]}],"id":[{"id":"10.13039\/501100017691","id-type":"DOI","asserted-by":"publisher"}]},{"name":"he Open Research Fund of the Guangxi Key Laboratory of Water Engineering Materials and Structures, Guangxi Hydraulic Research Institute","award":["GXHRI-WEMS-2020-07"],"award-info":[{"award-number":["GXHRI-WEMS-2020-07"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Sugarcane is a multifunctional crop mainly used for sugar and renewable bioenergy production. Accurate and timely estimation of the sugarcane yield before harvest plays a particularly important role in the management of agroecosystems. The rapid development of remote sensing technologies, especially Light Detecting and Ranging (LiDAR), significantly enhances aboveground fresh weight (AFW) estimations. In our study, we evaluated the capability of LiDAR mounted on an Unmanned Aerial Vehicle (UAV) in estimating the sugarcane AFW in Fusui county, Chongzuo city of Guangxi province, China. We measured the height and the fresh weight of sugarcane plants in 105 sampling plots, and eight variables were extracted from the field-based measurements. Six regression algorithms were used to build the sugarcane AFW model: multiple linear regression (MLR), stepwise multiple regression (SMR), generalized linear model (GLM), generalized boosted model (GBM), kernel-based regularized least squares (KRLS), and random forest regression (RFR). The results demonstrate that RFR (R2 = 0.96, RMSE = 1.27 kg m\u22122) performs better than other models in terms of prediction accuracy. The final fitted sugarcane AFW distribution maps exhibited good agreement with the observed values (R2 = 0.97, RMSE = 1.33 kg m\u22122). Canopy cover, the distance to the road, and tillage methods all have an impact on sugarcane AFW. Our study provides guidance for calculating the optimum planting density, reducing the negative impact of human activities, and selecting suitable tillage methods in actual cultivation and production.<\/jats:p>","DOI":"10.3390\/rs12172823","type":"journal-article","created":{"date-parts":[[2020,8,31]],"date-time":"2020-08-31T11:53:49Z","timestamp":1598874829000},"page":"2823","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":78,"title":["Estimation of Sugarcane Yield Using a Machine Learning Approach Based on UAV-LiDAR Data"],"prefix":"10.3390","volume":"12","author":[{"given":"Jing-Xian","family":"Xu","sequence":"first","affiliation":[{"name":"Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai 200438, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3412-7766","authenticated-orcid":false,"given":"Jun","family":"Ma","sequence":"additional","affiliation":[{"name":"Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai 200438, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ya-Nan","family":"Tang","sequence":"additional","affiliation":[{"name":"Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai 200438, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei-Xiong","family":"Wu","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Water Engineering Materials and Structures, Guangxi Hydraulic Research Institute, Nanning 530023, China"},{"name":"School of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, Handan 056038, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin-Hua","family":"Shao","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Water Engineering Materials and Structures, Guangxi Hydraulic Research Institute, Nanning 530023, China"},{"name":"Research Centre on Ecological Sciences, Jiangxi Agricultural University, Nanchang 330045, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wan-Ben","family":"Wu","sequence":"additional","affiliation":[{"name":"Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai 200438, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shu-Yun","family":"Wei","sequence":"additional","affiliation":[{"name":"Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai 200438, China"},{"name":"School of surveying and Mapping Science and Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0404-5321","authenticated-orcid":false,"given":"Yi-Fei","family":"Liu","sequence":"additional","affiliation":[{"name":"Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai 200438, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan-Chen","family":"Wang","sequence":"additional","affiliation":[{"name":"Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai 200438, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hai-Qiang","family":"Guo","sequence":"additional","affiliation":[{"name":"Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary, Institute of Biodiversity Science, School of Life Sciences, Fudan University, Shanghai 200438, 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