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Framework and Emerging Directions for Remote Sensing in Chinese Tropical Agriculture
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Hailiang LI1, 2, Weiguang LI3, Guanghui TIAN4, Xiaojuan LIU5, Qiting HUANG6, Qian ZHENG1, 2, Yiwen MA1, 2, *
Chinese Journal of Tropical Crops | 2025, 46(9) : 2259 - 2270
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Chinese Journal of Tropical Crops | 2025, 46(9): 2259-2270
• Post-harvest Treatment & Quality Safety •
Framework and Emerging Directions for Remote Sensing in Chinese Tropical Agriculture
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Hailiang LI1, 2, Weiguang LI3, Guanghui TIAN4, Xiaojuan LIU5, Qiting HUANG6, Qian ZHENG1, 2, Yiwen MA1, 2, *
Affiliations
  • 1.Institute of Scientific and Technological Information, Chinese Academy of Tropical Agricultural Sciences / Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province / Key Laboratory of Applied Research on Tropical Crop Information Technology of Hainan Province, Haikou, Hainan 571101, China
  • 2.Hainan Tang Huajun Academician Workstation, Haikou, Hainan 571101, China
  • 3.Hainan Climate Center, Haikou, Hainan 570203, China
  • 4.Hainan Institute of Meteorological Sciences, Haikou, Hainan 570203, China
  • 5.Hainan Geomatics Center, Ministry of Natural Resources, Haikou, Hainan 570203, China
  • 6.Agricultural Science and Technology Information Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi 530007, China
Published: 2025-09-25 doi: 10.3969/j.issn.1000-2561.2025.09.023
Outline
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Tropical agriculture is critical to global food security and rural revitalization. However, its modernization is constrained by complex terrain, climatic variability and frequent disasters. Remote sensing, with its capacity for large-scale, real-time information acquisition, has emerged as a key enabler for smart and precision agriculture in tropical regions. This study established a framework for remote sensing research in China's tropical agriculture, proposing an integrated “space-air-ground” observation strategy and explaining the resolution-to-application matching mechanism, in which low-, medium-, and high-resolution observations are respectively suited for regional resource surveys, farmland growth monitoring, and field-scale phenotypic diagnostics. It reviewed progress in natural resource surveys, crop monitoring yield estimation, disaster assessment and ecological evaluation, analyzed challenges such as insufficient ground-truth data, limited model transferability, poor regional adaptability and low transformation efficiency; and proposes key innovation paths including coordinated sensing, multi-modal data fusion, intelligent modeling and digital twin-based forecasting. Finally, it outlined future directions focusing on system integration, intelligent perception, and global collaboration. The findings would provide theoretical and technical support for enhancing remote sensing applications in tropical agriculture.

tropical agriculture  /  remote sensing technology  /  smart agriculture  /  space-air-ground integration  /  multi-modal fusion  /  remote sensing phenotyping
Hailiang LI, Weiguang LI, Guanghui TIAN, Xiaojuan LIU, Qiting HUANG, Qian ZHENG, Yiwen MA. Framework and Emerging Directions for Remote Sensing in Chinese Tropical Agriculture[J]. Chinese Journal of Tropical Crops, 2025 , 46 (9) : 2259 -2270 . DOI: 10.3969/j.issn.1000-2561.2025.09.023
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Article Info
doi: 10.3969/j.issn.1000-2561.2025.09.023
  • Receive Date：2025-04-13
  • Online Date：2026-03-07
  • Published：2025-09-25
Article Data
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History
  • Received：2025-04-13
  • Accepted：2025-05-02
Funding
Affiliations
    1.Institute of Scientific and Technological Information, Chinese Academy of Tropical Agricultural Sciences / Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province / Key Laboratory of Applied Research on Tropical Crop Information Technology of Hainan Province, Haikou, Hainan 571101, China
    2.Hainan Tang Huajun Academician Workstation, Haikou, Hainan 571101, China
    3.Hainan Climate Center, Haikou, Hainan 570203, China
    4.Hainan Institute of Meteorological Sciences, Haikou, Hainan 570203, China
    5.Hainan Geomatics Center, Ministry of Natural Resources, Haikou, Hainan 570203, China
    6.Agricultural Science and Technology Information Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi 530007, China
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https://castjournals.cast.org.cn/joweb/rdzwxb/EN/10.3969/j.issn.1000-2561.2025.09.023
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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