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More accurate weather forecasts, coupled with disease models are key for farmers to adapt to the threat of the disease.

Wheat blast outbreaks are linked to the right climate conditions. Dec ades later it escaped from South America when it crept its way across the ocean and appeared in Bangladesh in 2016. The disease was first discovered in Brazil in 1985. Wheat blast disease is a major threat to smallholder farmers.

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Read MoreвЂ¦ Watch the informative video Buy the book Download brochureД¬ross-continental disease and crop modeling collaborations to beat back wheat blastД¬ross-continental collaborations facilitated by the CGIAR Platform for Big Data in Agriculture thrive to beat back the threat of wheat blast in Brazil and Bangladesh. The final part of the book reviews wider issues in improving model reliability such as data sharing and the supply of real-time data, as well as crop model inter-comparison. Chapters also review the performance of specific models such as APSIM and DSSAT and the challenges of developing decision support systems (DSS) linked with such models. Chapters cover topics such as integration of rotations and livestock, as well as landscape models such as agroecological zone (AEZ) models. Building on topics previously discussed in Part 1, Part 2 addresses the challenges of combining modular sub-systems into whole farm system, landscape and regional models. This collection summarises key advances in crop modelling, with a focus on developing the next generation of crop and whole-farm models to improve decision making and support for farmers.Д¬hapters in Part 1 review advances in modelling individual components of agricultural systems, such as plant responses to environmental conditions, crop growth stage prediction, nutrient and water cycling as well as pest/disease dynamics. Advances in crop modelling for a sustainable agriculture

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