This report aims to o estimate the current use of machinery in rice and bananas value chains; To establish determinants of mechanization in rice and bananas along the entire value chains; and estimate the effects of the determinants on mechanization levels. This study therefore seeks to identify factors that influence
mechanization levels for rice and bananas value chains. The findings from this study will help provide technical and policy recommendations for the improvement of not only the rice and banana value chains but the entire agriculture sector
While there is a lot of literature from a natural or technical sciences perspective on different forms of digitalization in agriculture (big data, internet of things, augmented reality, robotics, sensors, 3D printing, system integration, ubiquitous connectivity, artificial intelligence, digital twins, and blockchain among others), social science researchers have recently started investigating different aspects of digital agriculture in relation to farm production systems, value chains and food systems. This has led to a burgeoning but scattered social science body of literature.
This research aims to add to the literature new insights about the interaction processes, which are implemented in different interactive extension approaches, by analysing how farmers attending different extension events shape a network of indirect interactions
Se evaluó la aceptación de una nueva tecnología de manejo integrado del cultivo de papayo en el ejido Miralejos, municipio de Soledad de Doblado, Veracruz, México. Se encuestaron 32 productores antes y después de asistir a eventos demostrativos en tres parcelas del ejido. El análisis multivariado de componentes principales mostró evidencia significativa que engloba la opinión de los encuestados respecto a los cambios de actitud positiva hacia la tecnología
The Malaysian story involves a farsighted leadership that has mobilized the considerable assets of a resource-rich country to translate a long-term vision of nation building into action and transformational results. This report analyzes what Malaysia did to achieve transformative results in agriculture.
The startups are an exemplar that great things are done by a series of small things brought together. Taking one small step at a time, moving from one problem to another and solving the issues by disruptive innovation is what these startups are trying to achieve. The startups are not only creating new jobs which means more employment but are also leaving a ripple effect on the socio-economic fabric of the demography in which they are operating. The world has become a playfield for these young entrepreneurs as the global startup revolution continues to grow.
Food systems are at a crossroads. Profound transformation is needed to address Agenda 2030 and to achieve food security and nutrition (FSN) in its four dimensions of availability, access, utilization and stability, and to face multidimensional and complex challenges, including a growing world population, urbanization and climate change, which drive increased pressure on natural resources, impacting land, water and biodiversity. This need has been illustrated from various perspectives in previous HLPE reports and is now widely recognized.
'AgTech' is the latest discourse about introducing new technologies to agricultural production. Researchers, corporations, and governments around the world are investing heavily in supporting its development. Abu Dhabi, the largest and wealthiest emirate in the UAE, has been among these supporters, recently announcing a massive scheme to support AgTech companies. Given the extreme temperatures and aridity of the Arabian Peninsula, several new start-ups have focused on 'controlled environment' facilities – hydroponics and aeroponics in various kinds of greenhouses.
Breeding programs for local breeds kept by small farmers in developing countries are a major challenge. Animal recording of pedigree and performance under conditions of subsistence livestock farming is remain difficult or next to impossible. This means that standard genetic evaluations, as well as selection and planning of mating based on estimates of the animals' genotypes, cannot be done at any level in the population of the target breed or genetic group.
This data article contains annotation data characterizing Multi Criteria Assessment (MCA) Methods proposed in the agri-food sector by researchers from INRA, Europe's largest agricultural research institute (INRA, https://institut.inra.fr/en). MCA can be used to assess and compare agricultural and food systems, and support multi-actor decision making and design of innovative systems for crop production, animal production and processing of agricultural products.