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On‐Farm Research: Experimental Approaches, Analytical Frameworks, Case Studies, and Impact
Author(s) -
Kyveryga Peter M.
Publication year - 2019
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.2134/agronj2019.11.0001
Subject(s) - productivity , automatic summarization , sustainability , general partnership , precision agriculture , agriculture , scale (ratio) , management science , computer science , environmental resource management , business , environmental economics , economics , geography , biology , ecology , cartography , archaeology , finance , artificial intelligence , macroeconomics
On‐farm research is becoming widespread due to a growing interest among farmers, agronomists and the research community. While the concept of on‐farm research is not new, the scale and influence of on‐farm studies conducted by farmers in partnership with industry and university researchers are expanding. New technologies, tools, and analytical approaches are rapidly evolving to advance the reach and impact of on‐farm research. Papers in this special issue include the use of on‐farm testing to increase economic and environmental sustainability in Africa and South America, the development of a new analytical collaborative frameworks for better summarization, visualization and communication of research results, and a new analytical approaches based on Bayesian hierarchical and multivariate analyses that can be used to assess complex relationships between management, genetics, soils, and the environment. Simulation approaches were also tested to identify the most efficient experimental designs and estimation methods of statistical parameters. In all situations, on‐farm research leads to improved productivity, better economics, higher adoption of conservation practice and greater farmer satisfaction. Core Ideas Precision agriculture technology adoption benefits on‐farm research expansion. New analytical and visual frameworks aid in farmer decision making. On‐farm research reduces barriers to adoption of new management techniques. On‐farm research increases farmer interest and motivation.