L’herbe pâturée est l’aliment qui coûte le moins cher dans une ration et la bonne gestion de l’herbe passe entre autre par une connaissance des quantités disponibles. Afin de simplifier et d’automatiser ces mesures d’herbe, et ainsi contribuer au maintien voire au développement du pâturage, le projet HERDECT s’est attaché à construire des méthodes d’estimation de la biomasse des prairies à partir d’outils de télédétection (d’acquisition à distance) et à en estimer la faisabilité opérationnelle.
Le drone est un outil de plus en plus utilisé dans de nombreux domaines et en particulier en agriculture. La méthode présentée permet d’estimer la hauteur de plantes fourragères à partir de photos prises d’un drone. Cette méthode revêt un intérêt tout particulier pour la sélection végétale.
The goal of this paper is to access the state, specify trends, compare with other EU states, and identify intervention needs of Agricultural Knowledge and Innovation System (AKIS) in Bulgaria, and assist policy formation for the next programing period. Modern scientific approaches of SWOT, Strategic Orientation, Gap Analysis, Comparative Institutional Analysis, etc. are used to identify actors and relations, trends in development, assess strengths, weaknesses, opportunities and threats, formulate adequate strategy, and specify overall and public intervention needs of AKIS in the country.
Unlike in many other countries, in Bulgaria there are no comprehensive analysis of the state and evolution of the system of knowledge sharing, innovation and digitalization in agriculture (AKIS). The goal of this paper is to fill the gap and analyze the state, efficiency and factors of the agricultural knowledge sharing, innovation and digitalization in Bulgaria at current stage of development.
The present study investigates the value chain supplying school catering with organic produce, using the organic vegetable industry in the Berlin-Brandenburg region as an example. It employs a qualitative case study approach to explore industry actors’ perspectives and their activities within the value chain. Data is collected by conducting ten in-depth interviews with actors on different supply chain levels (farming, wholesale, and school catering) and is analyzed using qualitative content analysis
The agro-ecosystem is a system composed of population, natural resources and economic activities related in a dynamic interaction in terms of socio-ecological and socio-economic relations conditioned by endogenous and exogenous factors. With time, the agro-ecosystem undergoes changes. By analysing the agro-ecosystem dynamics over a period of time, we can plan the agro-ecosystem for higher level of production and productivity, achieving higher level of resource use and environmental efficiency and maximise food security as well as livelihood security.
Nutrition and Agriculture are interlinked with each other. Sustainable agricultural development is agricultural development that contributes to improving resource efficiency, strengthening resilience and securing social equity/responsibility of agriculture and food systems in order to ensure food security and nutrition for all, now and in the future. While poverty has always been associated with severe forms of acute under-nutrition, it is fact that poverty affects an individual’s health throughout their lifetime.
This study explores the properties of innovation systems and their contribution to increased eco-efficiency in agriculture. Using aggregate data and econometric methods, the eco-efficiency of 79 countries was computed and a range of factors relating to research, extension, business and policy was examined. Despite data limitations, the analysis produced significant results.
The study focuses on how levels of innovation, measured by complexity and investments requirements of the adopted technologies, relates to innovative behavior and complying with social responsibility practices, as two indicators of the farmer's behavior towards innovation. A typology of farmers with different technological
levels was constructed based on multivariate techniques, according to the adoption of seven technologies. The main objective of the study was to relate SR and innovative behavior to the technology clusters
The aim of the paper is to evaluate the impact of value-webs as an innovation in agricultural production on welfare of cassava smallholders in Nigeria. The estimation procedure involved the alternative process of multivalued treatment models when treatment units have multiple values. The study thus extends previous impact studies which focused on estimating causal effects from binary treatment units. The treatment units were determined from the extent of utilization of cassava which informed the classification of households into value-web groups.