There is a growing concern by governments, retailers and consumers about the safety and quality of food. Because products are resourced on a on a global scale it becomes important that the origin of the products as well as all the treatments during production can be traced and that the production methods can be verified as good agricultural practices (GAP). This also includes considerations for the environment and sustainability.
This paper analyzes the status of Pakistan’s agriculture in the world and quantifies the potential of improving productivity and quality of value chain at its different nodes. A great potential of expansion in the value chain of large number of agricultural commodities produced in Pakistan are observed. Just bringing the average crop yield levels at par to the world average yield can generate over US$11 billion additional revenues to the producers. Despite lower yield, majority of commodities have lower prices compared to the world average prices at the farmgate.
Los artículos reunidos en este volumen se basan en las ponencias presentadas por los expertos que participaron en el seminario internacional “Políticas para la agricultura en América Latina y el Caribe: competitividad, sostenibilidad e inclusión social”, realizado en la sede de la Comisión Económica para América Latina y el Caribe (CEPAL) en Santiago los días 6 y 7 de diciembre de 2011.
The IPMS project proposes to ‘contribute to improved agricultural productivity and production through market-oriented agricultural development, as a means for achieving improved and sustainable livelihoods for the rural population’ in Ethiopia. To accomplish this goal the project supports development and (action) research on innovative technologies, processes and institutional arrangements in three focus areas i.e.
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.
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.
In this paper, presented at the 12th European IFSA Symposium (Workshop: "Generating spaces for innovation in agricultural and rural development") in 2016, the authors assess the integration of new entrants to small-scale farming into agricultural knowledge and innovation systems (AKIS), in four study sites located on Europe’s periphery (Bulgaria, Poland, Portugal, and the United Kingdom).
This paper, presented at the 8th European IFSA Symposium ( Workshop 6: "Change in knowledge systems and extension services: Role of the new actors") in 2008, discusses the FutureDairy project, which is developing more productive forage and feeding systems and testing technical innovations such as robotic milking in Australian pasture based dairy systems.
Within the context of the European-funded JOLISAA FP7 project (JOint Learning in Innovation Systems in African Agriculture), several agricultural innovation experiences focused on smallholders were assessed in Benin, Kenya and South Africa. Fifty-six cases were characterised through review of grey literature and interviews with resource persons according to a common analytical framework inspired by the innovation systems perspective. Of these, 13 were assessed in greater depth through semistructured interviews, focus-group discussions and multistakeholder workshops.
The study relies on the activities performed within EU funded Horizon 2020 project, AgriSpin (www.agrispin.eu), specifically for the case of Cilento Bio-district in Campania region, Italy. The methodology is centred on the “cross-visit method” developed within the AgriSpin Project, based on direct observation, interviews with relevant actors and analysis of grey literature.