Coupling proximal sensing, seasonal forecasts and crop modelling to optimize nitrogen variable rate application in durum wheat
Author:
Funder
Progetto Ager
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences
Link
https://link.springer.com/content/pdf/10.1007/s11119-020-09730-6.pdf
Reference81 articles.
1. Arnall, D. B., Mallarino, A. P., Ruark, M. D., Varvel, G. E., Solie, J. B., Stone, M. L., et al. (2013). Relationship between grain crop yield potential and nitrogen response. Agronomy Journal, 105(5), 1335–1344.
2. Asseng, S., Ewert, F., Martre, P., Rötter, R. P., Lobell, D. B., Cammarano, D., et al. (2014). Rising temperatures reduce global wheat production. Nature Climate Change, 5(2), 143–147.
3. Asseng, S., McIntosh, P. C., Wang, G., & Khimashia, N. (2012). Optimal N fertiliser management based on a seasonal forecast. European Journal of Agronomy, 38, 66–73.
4. Baigorria, G. A., Jones, J. W., & O’Brien, J. J. (2008). Potential predictability of crop yield using an ensemble climate forecast by a regional circulation model. Agricultural and Forest Meteorology, 148(8–9), 1353–1361.
5. Bannayan, M., & Hoogenboom, G. (2009). Using pattern recognition for estimating cultivar coefficients of a crop simulation model. Field Crops Research, 111, 290–302.
Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Integrating NDVI and agronomic data to optimize the variable-rate nitrogen fertilization;Precision Agriculture;2024-09-09
2. On-farm evaluation of a crop forecast-based approach for season-specific nitrogen application in winter wheat;Precision Agriculture;2024-08-03
3. Spatial-temporal variability in nitrogen use efficiency: Insights from a long-term experiment and crop simulation modeling to support site specific nitrogen management;European Journal of Agronomy;2024-08
4. Developing remote sensing- and crop model-based methods to optimize nitrogen management in rice fields;Computers and Electronics in Agriculture;2024-05
5. A Comparison of Yield Prediction Approaches Using Long-Term Multi-Crop Site-Specific Data;Journal of the ASABE;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3