- Arturas Kaklauskas a , Guttila Jayasinghe b , Shaw Rajib c, Loreta Kaklauskiene a , Ieva Ubarte a , Jurga Naimaviciene a , Saulius Naimavicius a , Virginijus Milevicius a
+506 2216 0222
paesa@iica.int
Description
The study analyzes 1,925 scenarios and develops a model that explains 99.4% of the variation in sustainable and productive agriculture in relation to countries' political, social, economic, and environmental contexts. Its tools use multiple-criteria analysis, statistical methods, and Google data to generate digital evidence-based recommendations.
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Languages:
- English
Beneficiaries:
- Researchers
Countries:
- World (aggregate)