The second Action plan of the Tropical Agriculture Platform (TAP) covers the period 2018-2021. The draft Plan was presented at the fifth TAP Partners Assembly in Laos in September 2017, at which partners appointed a task force to finalise the Action Plan for review by the TAP Steering Committee and final approval by the TAP Partners’ Assembly. The goal of the second TAP Action Plan is to strengthen agricultural innovation capacities at country level.
La conférence sur « Agriculture écologique : atténuer le changement climatique, assurer la sécurité alimentaire et l’autonomie pour les sources de revenus ruraux en Afrique » s’est tenue à Addis – Abéba (Ethiopie) du 26 au 28 novembre 2008.
Este artículo hace un análisis del perfil de la avicultura a pequeña escala realizada en el Estado de Espirito Santo, en Brasil, de los roles que posee en la agricultura familiar y de los que podría tener en una agricultura más sostenible.
The present study aims to characterize a new type of business ventures-agtech companies. Researchers conducted 3 interviews with the owners of agtechs located in Agtech valley and then by using a quantitative approach, collected secondary data of 74 firms from the Brazilian largest agricultural technology Science Park. This article contributes to the literature by characterizing the emerging type of new technology-based ventures within the agribusiness context.
Mainstream agricultural research has focused primarily on technical and biological aspects and is aimed at controlling or manipulating nature through the use of external inputs, such as
agricultural chemicals or super seed. In developing countries, the results of this research have benefited some resource-rich farmers in well-endowed areas, were suitable to only a limited
extent for poorer farmers in the more favourable areas, and were - in most cases - completely inappropriate for small-scale farmers in marginal areas, e.g. in the mountains or the drylands.
Projet pilote, l’initiative Adaptation Learning Program (ALP) ou Programme d’Apprentissage sur l’Adaptation au Changement Climatique, est mis en œuvre pour une durée de cinq ans (2010-2014) à l’échelle de quatre pays subsahariens : Ghana, Kenya, Mozambique et Niger. Cette phase est conçue et mise en œuvre par Care et ses partenaires dans le but de « Renforcer la capacité des ménages vulnérables en Afrique sub-saharienne à s’adapter à la variabilité et au changement climatique à travers une approche d’adaptation à base communautaire (ABC) ».
The problems of agricultural development for small and medium enterprises (SMEs) are considered. The features of modeling business processes in agriculture are analyzed. A financial decision support system is proposed to increase sustainability and reduce risks in the development of agricultural SMEs. The software modules are based on TEO-INVEST.
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.
It is difficult to establish the precise mathematical model of agricultural wheeled robots with differential drive for path tracking control, due to characteristics of nonlinear, strong coupling and multivariable. Here, path tracking control is studied for agricultural wheeled robot with differential drive based on sliding mode variable structure. Firstly, the motion model of agricultural wheeled robots with differential drive is established and control goal is determined for path tracking. Then, sliding mode variable structure is applied to design the controller.
This paper presents Thorvald II, a modular, highly re-configurable, all-weather mobile robot intended for applications in the agricultural domain. Researchers working with mobile agricultural robots tend to work in a wide variety of environments such as open fields, greenhouses, and polytunnels. Until now agricultural robots have been designed to operate in only one type of environment, with no or limited possibilities for customization.