Rapid soil detection technology aids in assessing soil nutrients in China

Authors

Wei WU, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaFollow
Xiaoyong LIAO, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Xiaopeng LI, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 211135, China
Yuntao WU, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 201899, China
Huixian LU, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
Yucheng ZHANG, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, ChinaFollow
Jiabao ZHANG, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 211135, China

Keywords

soil rapid detection technology cultivated land quality soil nutrient prescription map for fine cultivated land food security

Document Type

Smart Agriculture Development and Reflection

Abstract

Soil quality is the core issue for ensuring China’s food security, and soil health is the top priority of soil quality. Comprehensive, rapid and accurate acquisition of soil background data is the prerequisite for achieving homogeneous soil management and formulating balanced fertilization strategies, which will play a key role in improving non-point source pollution caused by unreasonable fertilization and achieving balanced grain yield increase. This study reviews rapid soil testing methods both domestically and internationally. Based on previous research, it proposes a technical approach to rapidly detect soil nutrient concentrations by calculating the gamma quanta released during the decay of radioactive nuclides. This approach includes the development of rapid soil testing equipment, the establishment of soil nutrient inversion models, and the use of digital mapping technology to create detailed soil nutrient prescription maps for cultivated land. It is of great significance for grasping the situation of soil nutrient data in China, clarifying the soil nutrient inventory and ensuring China’s food security. Finally, to accelerate the acquisition of soil nutrient background data in China, three development suggestions are put forward to promote the application of this technology nationwide in combination with the informatization construction of high-standard farmland.

First page

320

Last Page

327

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

1 袁旭, 张家安, 常飞杨, 等. 我国肥料施用现状及化肥减量研究进展. 农业与技术, 2022, 42(18): 20-23.Yuan X, Zhang J A, Chang F Y, et al. Current situation of fertilizer application and research progress of fertilizer reduction in China. Agriculture and Technology, 2022, 42 (18): 20-23. (in Chinese)

2 McFadden J, Njuki E, Griffin T. Precision agriculture in the digital era: Recent adoption on US farms. (2023-02-22) [2025-02-07]. https://www. ers. usda. gov/publications/pubdetails?pubid=105893.

3 Van Der Klooster E, Van Egmond F M. Mapping soil clay contents in Dutch marine districts using gamma-ray spectrometry. European Journal of Soil Science, 2011, 62(5): 743-753.

4 陈新平, 张福锁. 通过“3414”试验建立测土配方施肥技术指标体系. 中国农技推广, 2006, 22(4): 36-39.Chen X P, Zhang F S. The technical index system of soil testing and formula fertilization was established by “3414” test. China Agricultural Technology Extension, 2006, 22(4): 36-39. (in Chinese)

5 白由路, 杨俐苹. 我国农业中的测土配方施肥. 土壤肥料, 2006, (2): 3-7.Bai Y L, Yang L P. Soil testing and fertilizer recommendation in Chinese agriculture. Soil and Fertilizer Sciences in China, 2006, (2): 3-7. (in Chinese)

6 任丽清, 翁志强. 新形势下测土配方施肥技术推广存在的问题及对策. 农村经济与科技, 2024, 35(13): 70-73.Ren L Q, Weng Z Q. Problems and countermeasures in spreading the technology of soil testing and formula fertilization under the new situation. Rural Economy and Science-Technology, 2024, 35(13): 70-73. (in Chinese)

7 Wang J Z, Zhen J N, Hu W F, et al. Remote sensing of soil degradation: Progress and perspective. International Soil and Water Conservation Research, 2023, 11(3): 429-454.

8 Dharumarajan S, Seenipandi K, Adhikari K, et al. Remote Sensing of Soils: Mapping, Monitoring, and Measurement. Amsterdam: Elsevier, 2023: 25-41.

9 Sharma V, Chauhan R, Kumar R. Spectral characteristics of organic soil matter: A comprehensive review. Microchemical Journal, 2021, 171: 106836.

10 史舟, 郭燕, 金希, 等. 土壤近地传感器研究进展. 土壤学报, 2011, 48(6): 1274-1281.Shi Z, Guo Y, Jin X, et al. Advancement in study on proximal soil sensing. Acta Pedologica Sinica, 2011, 48(6): 1274-1281. (in Chinese)

11 余士其. 计算技术与人工智能算法在重金属残留物检测中的应用——评《人工智能算法及其在土壤重金属残留物检测中的运用研究》. 有色金属工程, 2023, 13(3): 163.Yu S Q. Application of computing technology and artificial Intelligence algorithms in heavy metal residue detection— Review of Research on Artificial Intelligence Algorithms and Their Application in Soil Heavy Metal Residue Detection. Nonferrous Metals Engineering, 2023, 13(3): 163. (in Chinese)

12 Imaizumi M. Overview on spectral analysis techniques for gamma ray spectrometry. Nuclear Science, 2024, 9(1): 8-29.

Recommended Citation

WU, Wei; LIAO, Xiaoyong; LI, Xiaopeng; WU, Yuntao; LU, Huixian; ZHANG, Yucheng; and ZHANG, Jiabao (2024) "Rapid soil detection technology aids in assessing soil nutrients in China," Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 40 : Iss. 2 , Article 9.
DOI: https://doi.org/10.16418/j.issn.1000-3045.20250119009
Available at: https://bulletinofcas.researchcommons.org/journal/vol40/iss2/9