Farmer-designed research is a collaborative way of solving problems and innovating based on farmer’s own experiences and needs.
Louis Longchamps, a professor of digital agronomy at Cornell University, says that effective design of on-farm research is important to get the most out of the work.
He points out that farmers already collect plenty of rough data and base their decisions on evidence they witness on their farm.
Longchamps’ work is aimed at giving farmers a chance to look at more pieces of data to make a more informed decision. He says by using different layers of digital agronomy data. such as soil maps, weather data, and remote sensing data from multiple farms, farmers will have a solid foundation to make the best, evidenced-based decisions.
He says that farmers lead the work, and focus on questions they have of their own farm, rather than a researcher defining the issue for them. Being farmer-led leads to better success, he says.
Listen and watch below to hear more from Longchamps, and learn about his work in weed control using digital tools:
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