Explaining variation in cassava root yield response to fertiliser under smallholder farming conditions using digital soi...
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status: published
Can machine learning models provide accurate fertilizer recommendations?
Accurate modeling of site-specific crop yield response is key to providing farmers with accurate site-specific economically optimal input rates (EOIRs) recommendations. Many studies have demonstrated that machine learning models can accurately predict yield. These models have also been used to analyze the effect of fertilizer application rates on y...
A participatory approach to involve winegrowers in pesticide use reduction in viticulture in the south-western region of...
Highlights: - We developed a participatory approach combining co-design workshops, on-farm experimentation and co-evaluation workshops.- We involved different types of stakeholders in the participatory approach: winegrowers, researchers and advisors.- This participatory approach involved winegrowers in the 3-step-process of reducing the use of pest...
On-farm experimentation practices and associated farmer-researcher relationships: a systematic literature review
AbstractThe convergence among the rise of digital technologies, the attention paid to the localized issues of transitions in practices toward agroecology, and the emergence of new open innovation models are renewing and reviving the scientific community’s interest in on-farm experimentation (OFE). This form of experimentation is claimed to be enhan...
Grain Productivity, Fertilizer Response and Nutrient Balance of Farming Systems in Tigray, Ethiopia : A Multi-Perspectiv...
Application of nutrients is an important way to increase crop productivity. In our study area, Tigray, development agents recommend fertilizer application to boost productivity and counteract nutrient depletion. We analysed soil fertility from different perspectives, using responses and nutrient balances on the basis of on-farm experimentation. Thr...
