Sorghum crop is grown under tropical and temperate latitudes for several purposes including production of health promoting food from the kernel and forage and biofuels from aboveground biomass. One of the concerns of policy-makers and sorghum growers is to cost-effectively predict biomass yields early during the cropping season to improve biomass and biofuel management. The objective of this study was to investigate if Sentinel-2 satellite images could be used to predict within-season biomass sorghum yields in the Mediterranean region.
The slow adoption of new agricultural technologies is an important factor in explaining persistent productivity deficits among smallholders in Sub-Saharan Africa (SSA). Farmers delay in particular the uptake of technology packages. Since knowledge constraints are an important barrier to adoption, effective extension approaches are key. In recent decades, extension systems in many SSA countries have moved towards decentralized “bottom-up” models involving farmers as active stakeholders.
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.
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.
Agriculture provides the principle source of livelihood for more than 80% of its 170 million people, and is the backbone of the Bangladesh economy. The government acknowledges this in its strategy to 2041, with investment in research and extension. CDAIS began in 2015. At the outset, however, the need to also invest in strengthening functional capacities was not recognised by those used to the ‘traditional’ technology transfer model.