Agricultural systems are influenced by a range of environmental, economic and socio-‐cultural factors. Due to this complexity, policymakers in agricultural development need science-‐based guidance to make decisions. Classical research approaches, using data-‐driven models, often fail to inform intervention decisions due to insufficient and low quality data. Given their multifaceted and complex nature, agricultural issues require the integration of knowledge and systems thinking from beyond the discipline-‐specific approaches that are often used.
Publication year
2017
Authors
Lanzanova, D.; Luedeling, E.; Whitney, C.
Language
English
Keywords
decision making, agriculture, agricultural development, policy analysis
