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.
Innovation for sustainable agricultural intensification (SAI) is challenging. Changing agricultural systems at scale normally means working with partners at different levels to make changes in policies and social institutions, along with technical practices. This study extracts lessons for practitioners and investors in innovation in SAI, based on concrete examples, to guide future investment.
A huge increase in investment in innovation for agricultural systems is critical to meet the Sustainable Development Goals and Paris Climate Agreement. Most of this increase needs to come from reorienting existing funding for innovation. However, understanding whether an investment will fully promote environmentally sustainable and equitable agri-food systems can be difficult.
Recent sessions of FAO Governing Bodies have put a strong focus on science, technology and innovation and Members are increasingly requesting FAO’s support to harness science and innovation. The FAO Science and Innovation Strategy (the Strategy) was adopted by the FAO Council at its 170th Session following an inclusive and transparent consultative process, with the participation of all Members through formal sessions of Governing Bodies (including the Regional Conferences in 2022), as well as two informal consultations and informal meetings with Regional Groups.
This training manual, which is based on a methodology developed by FAO’s Research and Extension Unit (OINR), presents a training course on assessing AIS consisting of eight modules.
Agrifood system transformation to achieve the Sustainable Development Goals requires increased attention to developing, adapting and diffusing impactful science, technology and innovation (STI). Current levels and patterns of STI uptake are inadequate to facilitate needed agrifood system transformations, especially in today's low- and middle-income countries.
Africa–Europe Cooperation and Digital Transformation explores the opportunities and challenges for cooperation between Africa and Europe in the digital sphere.
If you are a research or innovation manager or a funder of innovation in the agrifood sector, in the private or public sphere, these Principles are for you. Investment in research and innovation today will shape the agrifood systems of the future. The choices that you make during an innovation process will affect the future benefits and drawbacks of the innovations you help to create: for example, what types of people gain and lose, and what the effects are on the environment. Too often, these choices are not made consciously, and important issues are overlooked until it is too late.
Investment in research and innovation today will shape the agrifood systems of the future. The choices that you make during an innovation process will affect the future benefits and drawbacks of the innovations you help to create: for example, what types of people gain and lose, and what the effects are on the environment. Too often, these choices are not made consciously, and important issues are overlooked until it is too late.