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.
The contributions and dynamic interaction of thousands of stakeholders from all sectors have created the GCARD (Global Conference on Agricultural Research for Development) Roadmap, providing a clear path forward for all involved. The Roadmap highlights the urgent changes required in Agricultural Research for Development (AR4D) systems globally, to address worldwide goals of reducing hunger and poverty, creating opportunity for income growth while ensuring environmental sustainability and particularly meeting the needs of resource-poor farmers and consumer.
The Sanjiang Plain Wetlands Protection Project (SPWPP) supported by the Asian Development Bank (ADB), focuses on integrating conservation and development needs in the Sanjiang Plain, Heilongjiang Province of the People’s Republic of China. The project comprises 5 main components: watershed management, wetland nature reserve management, alternative livelihoods, education and capacity building and project management.
The devastation caused in Philippines by Typhoon Reming was the trigger for the Government request to FAO for the project “Strengthening Capacities for Climate Risk Management and Disaster Preparedness in Selected Provinces of the Philippines (Bicol Region)”. This technical project summary report provides a consolidated overview about the specific project activities, the implementation processes, main findings and the establishment of institutional mechanisms that were established to promote ongoing collaboration between farmers, agriculture extension workers, researchers and local governme
This Training of Trainers Manual is designed to help build the capacity of trainers in flash flood risk management, who can then disseminate the knowledge to a larger number of practitioners. The manual presents an eight-day course including a three-day field trip. Detailed lesson plans for 21 sessions are followed by resource materials that will enable the trainers to replicate the course in their own work areas.
In line with the Watershed Guidelines of 2008 - released by the Government of India - the Indian Department of Agriculture and Cooperation, in partnership with the German International Cooperation (GIZ), has implemented a project called ‘Strengthening Capacity Building for Decentralized Watershed Management’. The objective of the project was to improve the capacities and networking of central and state organizations to implement large public investment for decentralized watershed management programs. The project was piloted and implemented in Rajasthan, Karnataka and Uttarakhand.
This study presents a quasi-experimental analysis of the impact of FairTrade certification on the commercial performance of coffee farmers in Tanzania. In doing so the study emphasises the importance of a well-contextualised theory of change as a basis for evaluation design. It also stresses the value of qualitative methods to control for selection bias. Based on a longitudinal (pseudo-panel) dataset comprising both certified and conventional farmers, it shows that FairTrade certification introduced a disincentive to farmers’ commercialisation.
This Module is the third in a series of four that address capacity development competencies in FAO. It is intended to enhance FAO’s practices in designing, developing, delivering and evaluating its activities in support of learning in Member Countries, while ensuring that learning leads to sustainable capacity development.