Person: Baudron, F.
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Baudron
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Baudron, F.
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- Wheat yield gaps across smallholder farming systems in Ethiopia(Springer, 2021) Silva, J.V.; Reidsma, P.; Baudron, F.; Jaleta, M.; Tesfaye, K.; Ittersum, M.K. van
Publication - Debunking myths about agricultural labor and mechanization in Africa: fact sheet(CIMMYT, 2019) Gerard, B.; Baudron, F.; Yahaya, R.
Publication - Commercializing smallholder mechanization, the role of public and private sectors(ACIAR, [2017?]) Jaleta, M.; Baudron, F.Smallholder mechanization is part of the recent agricultural transformation agenda that most African countries have embarked on, with the aim of improving agricultural productivity, bringing new farmland into production to feed the increasing population, and creating rural employment for the youth. However, the adoption of mechanization in smallholder agriculture cannot be achieved overnight. Rather, it is a process that involves both the public and the private sector, where governments set proper policies and strategies with medium to long-term goals aimed at transforming the type and level of farm power, and a vibrant private sector takes hold of the business opportunities stimulated by the government policies. Moreover, the private sector has to be able to respond to farmers’ immediate demand for machinery services at affordable prices. In this regard, government contribution in supporting business entities supplying machineries and machinery services to smallholder farmers is critical. The support may include the creation of enabling business environments and technical capacity building programs. A broad national mechanization scheme can start with the most demanded machinery services and gradually, and then a step wise process that takes account of business opportunities for service providers.
Publication - Different ways to cut a cake: comparing expert-based and statistical typologies to target sustainable intensification technologies, a case-study in Southern Ethiopia(Cambridge University Press, 2019) Berre, D.; Baudron, F.; Kassie, M.; Craufurd, P.; Lopez-Ridaura, S.Understanding farm diversity is essential to delineate recommendation domains for new technologies, but diversity is a subjective concept, and can be described differently depending on the way it is perceived. Historically, new technologies have been targeted primarily based on agro-ecological conditions, largely ignoring socioeconomic conditions. Based on 273 farm households’ surveys in Ethiopia, we compare two approaches for the delineation of farm type recommendation domains for crop and livestock technologies: one based on expert knowledge and one based on statistical methods. The expert-based typology used a simple discriminant key for stakeholders in the field to define four farm types based on Tropical Livestock Unit, total cultivated surface and the ratio of these two indicators. This simple key took only a few minutes to make inferences about the potential of adoption of crop and livestock technologies. The PCA-HC analysis included a greater number of variables describing the farm (land use, household size, cattle, fertilizer, off-farm work, hiring labour, production). This analysis emphasized the multi-dimensional potential of such a statistical approach and, in principle, its usefulness to grasp the full complexity of farming systems to identify their needs in crop and livestock technologies. A sub-sampling approach was used to test the impact of data selection on the diversity represented in the statistical approach. Our results show that diversity structure is significantly impacted according to the choice of a sub-sample of 15 of the 20 variables available. This paper shows the complementarity of the two approaches and demonstrates the influence of data selection within large baseline data sets on the total diversity represented in the clusters identified.
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