Publisher
Springer Science and Business Media LLC
Subject
Computers in Earth Sciences,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,General Environmental Science
Reference59 articles.
1. Adhikari P, Ale S, Bordovsky JP, Thorp KR, Modala NR, Rajan N, Barnes EM (2016) Simulating future climate change impacts on seed cotton yield in the Texas High Plains using the CSM-CROPGRO-Cotton model. Agric Water Manag 164:317–330. https://doi.org/10.1016/j.agwat.2015.10.011
2. Arshad MN, Ahmad A, Wajid SA, Cheema MJM, Schwartz MW (2017) Adapting dssat model for simulation of cotton yield for nitrogen levels and planting dates. Agron J 109(6):2639–2648. https://doi.org/10.2134/agronj2017.04.0233
3. Ballesteros R, Ortega JF, Hernandez D, Campo A, Moreno MA (2018) Int J Appl Earth Obs Geoinformation Combined use of agro-climatic and very high-resolution remote sensing information for crop monitoring. Int J Appl Earth Obs Geoinform 72:66–75. https://doi.org/10.1016/j.jag.2018.05.019
4. Barton CVM, North PRJ (2001) Remote sensing of canopy light use efficiency using the photochemical reflectance index: model and sensitivity analysis. Remote Sens Environ 78(3):264–273
5. Basso B, Cammarano D, Carfagna E (2013) Review of crop yield forecasting methods and early warning systems. In: Proceedings of the first meeting of the scientific advisory committee of the global strategy to improve agricultural and rural statistics, vol 41. FAO Headquarters, Rome, Italy
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