Delineating soil nutrient management zones based on optimal sampling interval in medium- and small-scale intensive farming systems-Reference-Cited by-同舟云学术

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Delineating soil nutrient management zones based on optimal sampling interval in medium- and small-scale intensive farming systems

Published:2021-09-04 Issue: Volume: Page:
ISSN:1385-2256
Container-title:Precision Agriculture
language:en
Short-container-title:Precision Agric

Author:

Yuan Yifan,Miao Yuxin,Yuan Fei,Ata-UI-Karim Syed Tahir,Liu Xiaojun,Tian Yongchao,Zhu Yan,Cao Weixing,Cao Qiang^ORCID

Funder

The 111 Project

national natural science foundation of china

independent project of jiangsu key laboratory of information agriculture

specialized research fund for the doctoral program of higher education of china

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences

Link

https://link.springer.com/content/pdf/10.1007/s11119-021-09848-1.pdf

Reference63 articles.

1. Ahmed, Z. U., Panaullah, G. M., Degloria, S. D., & Duxbury, J. M. (2011). Factors affecting paddy soil arsenic concentration in Bangladesh: prediction and uncertainty of geostatistical risk mapping. Science of The Total Environment, 412(15), 324–335. https://doi.org/10.1016/j.scitotenv.2011.10.008.

2. Argento, F., Anken, K., Abt, F., Vogelsanger, E., Walter, A., & Liebisch, F. (2020). Site-specific nitrogen management in winter wheat supported by low-altitude remote sensing and soil data. Precision Agriculture, 22, 364–386. https://doi.org/10.1007/s11119-020-09733-3.

3. Behera, S. K., Mathur, R. K., Shukla, A. K., Suresh, K., & Prakash, C. (2018). Spatial variability of soil properties and delineation of soil management zones of oil palm plantations grown in a hot and humid tropical region of southern India. Catena, 165, 251–259. https://doi.org/10.1016/j.catena.2018.02.008.

4. Bezdek, J. C. (1981). emopenPattern recognition with fuzzy objective function algorithmsemclose (pp. 95–154). Plenum Press.

5. Boydell, B., & Mcbratney, A. B. (2002). Identifying potential within-field management zones from cotton-yield estimates. Precision Agriculture, 3(1), 9–23. https://doi.org/10.1023/A:1013318002609.

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