Depuis toujours, l’agriculture repose sur la modification de la constitution génétique des plantes et des animaux. Grâce à la reproduction sélective, d’innombrables générations de cultures et d’animaux ont été sélectionnées en fonction de caractères jugés bénéfiques pour l’être humain.
The concept of technology adoption (along with its companions, diffusion and scaling) is commonly used to design development interventions, to frame impact evaluations and to inform decision-making about new investments in development-oriented agricultural research. However, adoption simplifies and mischaracterises what happens during processes of technological change. In all but the very simplest cases, it is likely to be inadequate to capture the complex reconfiguration of social and technical components of a technological practice or system.
Le projet PPILOW vise à coconstruire, grâce à une approche multiacteurs, des innovations améliorant le bien-être des volailles et porcs élevés en systèmes biologiques et de plein air à bas-intrants. Le projet crée avec les utilisateurs finaux des outils d'auto-évaluation du bien-être, des stratégies innovantes d'élevage améliorant la santé et la robustesse des animaux, favorisant les comportements positifs, évitant la castration des porcelets et l’élimination des poussins mâles de souche ponte.
For an intelligent agricultural robot to reliably operate on a large-scale farm, it is crucial to accurately estimate its pose. In large outdoor environments, 3D LiDAR is a preferred sensor. Urban and agricultural scenarios are characteristically different, where the latter contains many poorly defined objects such as grass and trees with leaves that will generate noisy sensor signals. While state-of-the-art methods of state estimation using LiDAR, such as LiDAR odometry and mapping (LOAM), work well in urban scenarios, they will fail in the agricultural domain.
3D Move To See (3DMTS) is a mutli-perspective visual servoing method for unstructured and occluded environments, like that encountered in robotic crop harvesting. This paper presents a deep learning method, Deep-3DMTS for creating a single-perspective approach for 3DMTS through the use of a Convolutional Neural Network (CNN). The novel method is developed and validated via simulation against the standard 3DMTS approach.
This paper proposes a bionic electric spraying rod to perform the crop watering and spraying in the farm. The design concept of multiple vertebrae structures of snake is used to realize a reproducible snake bone arm and muscles of snake, which can be regarded as multiple sets of thin wires and be pulled and released through driver module. It results in different attitudes of the snake bone arm. A water pipe is installed in the snake arm connected to the spray nozzle for spraying. The mobile application interface (APP) is designed to provide the user to control the arm remotely.
Une évaluation approfondie du système de vulgarisation agricole tunisien montre que des paquets technologiques améliorés destinés au système de production agricole mixte élevage-orge en Tunisie semi-aride permettent d’économiser jusqu’à 40 % des coûts d’alimentation du bétail, mais ne sont pas largement adoptés. Les faibles taux d’adoption sont typiques pour de nombreuses technologies approuvées dans les pays en voie de développement.
The new Constitution of Nepal (2015) has initiated federal, provincial, and local governments in Nepal, each bestowed with respective rights, responsibilities, power and authority. While developing the new mechanism of governance, the Constitution has given immense authority as well as responsibility to local governments, which is unprecedented and has never been experienced before in the history of Nepal. Along with the restructuring of the state, the institutional mechanism of the agriculture sector has also been restructured.
The Feed the Future Mozambique Agricultural Innovations Activity (FTF Inova) made good progress on its interventions during quarter (Q) 2 of fiscal year (FY) 2019, facilitating the introduction and adaptation of a number of innovations with an increasing portfolio of partners. Testing of established probes continued, accompanied by the first set of learning, while new probes also emerged.
There was a need for change in agricultural development in Angola, and CDAIS has been appreciated. Results show positive outcomes in a number of areas, including the acceptance of the benefits of strengthening functional capacities across different levels. And, although it is still too early to see the full benefits of the approach, many involved said they would continue to apply it in their other activities. This story begins with views and experiences from rice growers and their partners, as an example of one of the three innovation niche partnerships in Angola.