Simplr: Crop Systems Evaluation Platform

Farming entails a great deal of choices and uncertainties. From season to season, weather varies, price fluctuates, soil degrades, pest damages, and climate changes. Farmers everywhere must cope with these uncertainties. Throughout the history of agriculture, many options have been developed to help manage these risks, increase yields, increase efficiency, and, more recently, promote the sustainability of the overall system.

[Q] Weather Generation in DSSAT

Question

How to use the weather generator in the DSSAT Crop Systems Model for climate change studies, and what should I know? Good question.

Meta-Analysis of Crop Systems Models

Word cloud of crops that respondents modeled

Crop systems models can help researchers estimate the future of food security under climate scenarios. Many crop models are known to exist around the world - for different crops with varying complexities, yet it is not easy to find the right model for the right problem. To better understand the global extent of crop model development and to identify gaps in capabilities, HarvestChoice participated in an initiative to conduct a rapid meta-analysis of crop models using on-line survey to the crop modeling community in the world. Here are the key findings.

Smart Investments in Sustainable Food Production: Revisiting Mixed Crop-Livestock Systems

Publishing Details

Publication Type: 
Journal Article
Authored by:
Herrero, M.; Thornton, P.K.; Notenbaert, A.M.; Wood, S.; Msangi, S.; Freeman, H.A.; Bossio, D.; Dixon, J.; Peters, M.; van de Steeg, J.; Lynam, J.; Parthasarathy Rao P.; Macmillan, S.; Gerard, B.; McDermott, J.; Sere, C.; Rosegrant, M.
Publication Year: 
2010
Journal Title: 
Science
Journal Volume: 
327
Journal Issue: 
5967
Page Range: 
822-825
DOI: 
DOI: 10.1126/science.1183725
Syndicate content