The agriculture systems in Bangladesh face a growing number of climate-related vulnerabilities. Climate has become increasingly variable over the past few decades, with droughts, seasonal and flash flooding, and extreme temperatures occurring more frequently and the sea level rising. Going forward, it will be critical to have an understanding of how best to address the trade-offs and synergies between achieving agricultural and economic goals on one hand and preparing for emerging climate challenges on the other. The use of evidenced-based decision making is a key part of this process.
Lesotho's agricultural system faces a growing number of climate-related vulnerabilities with droughts, floods, pests, and extreme temperatures occurring more frequently. In response, the Government of Lesotho is collaborating with the World Bank to integrate climate change into the country’s agriculture policy agenda through the Lesotho Climate-Smart Agriculture Investment Plan (CSAIP).
This report identifies key obstacles to job creation within the cashew sector and provides insight on how to remove obstacles. It begins with a general description of cashew culture, its characteristics and cultivation practices, and emphasizes the multipurpose uses of cashew, including a range of by-products that could support generation of new and better jobs. The report also presents an overview of the world cashew industry.
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.
The impulse towards a larger introduction of Information and Communication Technology (ICT) in the agricultural field is currently experiencing its momentum, as digitisation has large potentialities to provide benefits for both producers and consumers; on the other hand, pushing technological solutions into a rural context encounters several challenges.
The economic globalisation has opened new pathways for commerce and triggered a logistical revolution, which in turn has produced enormous technological innovations. In this context, the role of startups is becoming increasingly crucial since they are positioning themselves as innovation enablers among large and small companies. Between these innovations, IoT, Big Data Analytics and Blockchain can be used in various domains, among which the logistics of the whole wine supply chain.
After years of neglect, there is a renewed interest in agricultural mechanization in Africa. Since government initiatives to promote mechanization are confronted with major governance challenges, private-sector initiatives may offer a promising alternative. However, given limited scientific studies on such private-sector options such approaches are often viewed skeptically. One concern is that multi-national agribusiness companies take advantage of smallholder farmers. Another concern is that mechanization causes rural unemployment.
This study explores the role of gender-based decision-making in the adoption of improved maize varieties. The primary data were collected in 2018 from 560 farm households in Dawuro Zone, Ethiopia, and were comparatively analyzed across gender categories of households: male decision-making, female decision-making and joint decision-making, using a double-hurdle model. The results show that the intensity of improved maize varieties adopted on plots managed by male, female, and joint decision-making households are significantly different.
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.
The mergers of some of the world's largest agribusinesses have led to speculation about what sort of global citizens the new companies will become and whether vulnerable rural populations, especially smallholder men and women farmers, will be negatively impacted. As innovation leaders in the agriculture industry, these new companies will be expected to play key roles in finding solutions for major agricultural challenges facing the world today.