Geospatial binding for transdisciplinary research in crop science: the GRASPgfs initiative

Author:

Leibovici Didier G.,Anand Suchith,Santos RobertoORCID,Mayes Sean,Ray Rumiana,Al-Azri Masoud,Baten Abdul,King Graham,Karunaratne Asha S.,Azam-Ali Sayed,Jackson Mike J.

Funder

British Biological Sciences Research Council in the UK

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Reference52 articles.

1. Al-Azri M, Leibovici DG, Karunaratne A, Meek S, Ray RV. Simulating eyespot disease development and yield loss using APSIM for UK wheat. In: Agriculture and climate change, adapting crops to increased uncertainty, Amsterdam, The Netherlands, 15–17 February 2015; 2015.

2. Angulo C, Rötter R, Trnka M, Pirttioja N, et al. Characteristic ‘fingerprints’ of crop model responses to weather input data at different spatial resolutions. Eur J Agron. 2013;49:104–14.

3. Azam-Ali SN, Aguilar-Manjarrez J, Bannayan M. A global mapping system for bambara groundnut. In: FAO, agricultural information and knowledge management papers, vol. 1; 2001. p. 55.

4. Azam-Ali SN. Fitting underutilised crops within research-poor environments: lessons and approaches. S Afr J Plant Soil. 2010;27(4):293–8.

5. Basso B, Ritchie JT, Pierce FJ, Braga RP, et al. Spatial validation of crop models for precision agriculture. Agric Syst. 2001;68(2):97–112. doi: 10.1016/S0308-521X(00)00063-9 .

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