Weeds are among the most harmful abiotic factors in agriculture, triggering significant yield loss worldwide. Remote sensing can detect and map the presence of weeds in various spectral, spatial, and temporal resolutions. This review aims to show the current and future trends of UAV applications in weed detection in the crop field.
Rice is a primary food for more than three billion people worldwide and cultivated on about 12% of the world’s arable land. However, more than 88% production is observed in Asian countries, including Pakistan. Due to higher population growth and recent climate change scenarios, it is crucial to get timely and accurate rice yield estimates and production forecast of the growing season for governments, planners, and decision makers in formulating policies regarding import/export in the event of shortfall and/or surplus.
The determination of bunch features that are relevant for bunch weight estimation is an important step in automatic vineyard yield estimation using image analysis. The conversion of 2D image features into mass can be highly dependent on grapevine cultivar, as the bunch morphology varies greatly. This paper aims to explore the relationships between bunch weight and bunch features obtained from image analysis considering a multicultivar approach.
Ornamental plants are constantly being improved by new technologies and cultivation systems to provide new, high-quality plant material for one of the most demanding markets in the horticulture sector. In addition, the ornamental production sector faces several challenges, such as an increase in costs of production, new and old pests and diseases, climate change and the need to adapt to environmental stresses, the need for conservation and environmental protection, and competition with other food and energy crops in terms of areas and natural resources.
This brief explains about a three-year research project (2006-09), conducted by the Center for International Forestry Research in the lower Mekong River countries (Cambodia, Laos and Vietnam). The best practices in design and implementation were identified through a broad review of the literature and an inventory of the multivariate techniques on a large set of variables. This research explored patterns among sites, project design, project activities and management.
This PowerPoint document was presented during the OECD-ASEAN Regional Conference on Agricultural Policies to Promote Food Security and Agro-Forestry Productivity (Seoul, South Korea, 12-13 October 2015). The presentation outline is the the following: 1) About SEARCA; 2) Analytical Framework on AIS; 3) Governance of Innovation Systems; 4) Investing in Innovation; 5) Facilitating Knowledge Flows; 6) Strengthening Cross-Country Supply of Agricultural Innovation; 7) The Survey.
This report provides a synthesis of all findings and information generated through a “stocktaking” process that involved a desk study of Prolinnova documents and evaluation reports, a questionnaire to 40 staff members of international organizations in agricultural research and development (ARD), self-assessment by the Country Platforms (CPs) and backstopping visits to five CPs. In 2014, the Prolinnova network saw a need to re-strategise in a changing context, and started this process by reviewing the activities it had undertaken and assessing its own functioning.
The Feed the Future Asia Innovative Farmers Activity (AIFA) is a regional project transforming the lives of farmers by developing and supporting a regional technology ecosystem that fosters new technology, partnerships, and innovative practices in South and Southeast Asia with a focus on Bangladesh, Cambodia, and Nepal. The project aims to build a diverse regional agricultural innovation community that can test, adapt, and share the latest practices and technologies with smallholder farmers in the region.
The Feed the Future Asia Innovative Farmers Activity (AIFA) is a regional project working to facilitate the scaling of critical agricultural technologies through regional partnership and technology transfer. The project works with a range of agricultural technology stakeholders on a regional basis (private sector, research institutions, governments, networks, etc.) to increase food security, reduce poverty, and improve environmental sustainability by facilitating agricultural innovation and technology diffusion in the Asia region.
Feed the Future Asia Innovative Farmers Activity (AIFA) is a regional project working to facilitate the scaling of critical agricultural technologies through regional partnership and technology transfer. The project works with a range of agricultural technology stakeholders on a regional basis (private sector, research institutions, governments, networks, etc.) to increase food security, reduce poverty, and improve environmental sustainability by facilitating agricultural innovation and technology diffusion in the Asia region.