Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
DOI:
License:
{"metadata":{"id":"00840be1ecd0f7b8a04f5fd265971dda","source":"gardian_index","url":"https://cgspace.cgiar.org/rest/bitstreams/173917bc-eda0-4e32-a358-6b0fdeed5f15/retrieve"},"pageCount":2,"title":"Crop season planning tool: Adjusting sowing decisions to reduce the risk of extreme weather events","keywords":[],"chapters":[],"figures":[],"sieverID":"d0b5344e-1881-402c-80f4-83fd65d7f220","abstract":"P961 -Building foresight portfolio for MAIZE AFS, including synthesis, gap analysis and new studies, as input in conducting priority setting for MAIZE AFS Description of the innovation: Highlights • Crop season planning is a new, free online tool for decision-support in agriculture. • Simulates extreme weather event probabilities during crop development. • Helps minimizes the risk of exposing sensitive development stages to extremes. • Has successfully passed a preliminary test with US agricultural practitioners."} |