Economic pressures continue to mount on modern-day livestock farmers, forcing them to increase herds sizes in order to be commercially viable. The natural consequence of this is to drive the farmer and the animal further apart. However, closer attention to the animal not only positively impacts animal welfare and health but can also increase the capacity of the farmer to achieve a more sustainable production. State-of-the-art precision livestock farming (PLF) technology is one such means of bringing the animals closer to the farmer in the facing of expanding systems.
Les processus naturels et de l’action anthropique ont des conséquences sur la baisse de la productivité des terres agricoles. C’est ainsi que les agriculteurs dans les localités qui sont affectées, mettent en œuvre diverses technologies de gestion des terres en vue d’améliorer la productivité. L’objectif de cette étude était d’évaluer l’effet des composantes de la technologie ‘Microdose’ sur la performance économique et financière des exploitations agricoles dans les localités de Kouritenga et Zondoma au Burkina Faso.
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 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.