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Research of Prescription Map-based Variable Rate Fertilization System for Rice and Wheat with Spatio-temporal Coupling Compensation Method
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Youqiang DING1, Bing QI1, Yunxia WANG1, Yue DENG1, Maxat AMANTAYEV1, 2, Wenyi ZHANG1
Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12) : 279 - 288
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Transactions of the Chinese Society for Agricultural Machinery | 2025, 56(12): 279-288
• Agricultural Equipment and Mechanization Engineering •
Research of Prescription Map-based Variable Rate Fertilization System for Rice and Wheat with Spatio-temporal Coupling Compensation Method
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Youqiang DING1, Bing QI1, Yunxia WANG1, Yue DENG1, Maxat AMANTAYEV1, 2, Wenyi ZHANG1
Affiliations
  • 1.Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
  • 2.Akhmet Baitursynuly Kostanay Regional University, Kostanay 110000, Kazakhstan
Published: 2025-12-25 doi: 10.6041/j.issn.1000-1298.2025.12.025
Outline
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Aiming to address the issues of resource waste and environmental pollution caused by uniform fertilization in traditional methods, as well as the inadequate adaptability of existing variable-rate fertilization systems' lag compensation approaches, a prescription map-based variable-rate fertilization system for rice and wheat featuring spatio-temporal coupling compensation function was designed. The system employed an STM32F407 chip and CAN bus architecture for the control unit and central processor. Integrated with ArcMap GIS platform, it proposed a digital prescription map generation method based on agronomic expert decisions. The developed human-machine interface software supported GPS message reception/parsing, prescription map loading, and high-efficiency retrieval. Innovatively, a spatio-temporally coupled calibration model for fertilizer application adjustment was established through dynamic outlet positioning modeling and lag time self-learning algorithm, enabling automatic field calibration and dynamic compensation of system response time. Bench tests demonstrated that the self-learning algorithm achieved over 90.5% accuracy across working speeds (4~8 km/h) and fertilization gradients (0~450 kg/hm2, 0~750 kg/hm2, 450~750 kg/hm2). Field trials showed that with spatio-temporal calibration enabled, the average fertilization accuracy reached 97.4% within 50-meter segments—an 8.0 percentage points improvement over non-calibrated status—while maintaining only 2.5 percentage points accuracy fluctuation at 8 km/h. This system provided a high-precision, low-cost intelligent solution for variable-rate fertilization in rice/wheat cultivation, offering technical support for China's national policy of reducing fertilizer use while increasing efficiency.

variable rate fertilization for rice and wheat  /  prescription map  /  control system  /  ArcMap  /  spatio-temporal coupling compensation
丁友强, 祁兵, 王云霞, 邓越, Maxat AMANTAYEV, 张文毅. 基于时空耦合补偿的处方图式稻麦变量施肥系统研究. 农业机械学报, 2025 , 56 (12) : 279 -288 . DOI: 10.6041/j.issn.1000-1298.2025.12.025
Youqiang DING, Bing QI, Yunxia WANG, Yue DENG, Maxat AMANTAYEV, Wenyi ZHANG. Research of Prescription Map-based Variable Rate Fertilization System for Rice and Wheat with Spatio-temporal Coupling Compensation Method[J]. Transactions of the Chinese Society for Agricultural Machinery, 2025 , 56 (12) : 279 -288 . DOI: 10.6041/j.issn.1000-1298.2025.12.025
Year 2025 volume 56 Issue 12
284
115
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doi: 10.6041/j.issn.1000-1298.2025.12.025
  • Receive Date:2025-06-08
  • Online Date:2026-09-30
  • Published:2025-12-25
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  • Received:2025-06-08
  • Revised:2025-07-15
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Affiliations
    1.Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China
    2.Akhmet Baitursynuly Kostanay Regional University, Kostanay 110000, Kazakhstan
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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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