The agro-ecosystem is a system composed of population, natural resources and economic activities related in a dynamic interaction in terms of socio-ecological and socio-economic relations conditioned by endogenous and exogenous factors. With time, the agro-ecosystem undergoes changes. By analysing the agro-ecosystem dynamics over a period of time, we can plan the agro-ecosystem for higher level of production and productivity, achieving higher level of resource use and environmental efficiency and maximise food security as well as livelihood security.
1. Many coastal communities depend on ecosystems for goods and services that contribute to human well-being. As long-standing interactions between people and nature are modified by global environmental change, dynamic and diversified livelihood strategies that enable seasonal adaptation will be critical for vulnerable coastal communities. However, the success of such strategies depends on a range of poorly understood influences. 2.
The latest turmoil of production and price volatility in the global food sector has put agriculture back to the top of the development agenda. Population growth, changing consumer preferences, bioenergy demand and climate change are some of the huge challenges for agricultural production today and in the future. In the last decades, productivity has been constantly improved through the introduction of improved crop varieties and the greater use of mechanization, irrigation, chemical fertilizer and pesticides.
In Bangladesh, IFPRI has received support from USAID through its Policy Research and Strategy Support Program in Bangladesh (PRSSP) to work in the geographic areas targeted by Feed the Future interventions (known as the Zone of Influence) to construct this new WEAI4VC module.
In the light of ongoing debates about the suitability of proprietary seed technologies for smallholder farmers, this paper analyzes the adoption and impact of hybrid wheat in India. Based on survey data, we show that farmers can benefit significantly from the proprietary technology. Neither farm size nor the subsistence level influences the adoption decision, but access to information and credit does. Moreover, willingness-to-pay analysis reveals that adoption levels would be higher if seed prices were reduced.
This article adds to the literature about the impact of social networks on the adoption of modern seed technologies among smallholder farmers in developing countries. The analysis centers on the adoption of hybrid wheat and hybrid pearl millet in India. In the local context, both crops are cultivated mainly on a subsistence basis, and they provide examples of hybrid technologies at very different diffusion stages: while hybrid wheat was commercialized in India only in 2001, hybrid pearl millet was launched in 1965.
Plants are susceptive to various diseases in their growing phases. Early detection of diseases in plants is one of themost challenging problems in agriculture. If the diseases are not identified in the early stages, then they may ad-versely affect the total yield, resulting in a decrease in the farmers' profits. To overcome this problem, many re-searchers have presented different state-of-the-art systems based on Deep Learning and Machine Learningapproaches. However, most of these systems either use millions of training parameters or have low classificationaccuracies.
Natural resource management practices, such as the System of Rice Intensification (SRI), have been proposed to tackle agricultural challenges such as decreasing productivity growth and environmental degradation. Yet, the benefits of system technologies for farmers are often debated. Impacts seem to be context-specific, which is especially relevant in the small farm sector with its large degree of agroecological and socioeconomic heterogeneity. This was not always considered in previous research.
Despite substantial research on the economic effects of transgenic insect-resistant Bacillus thuringiensis (Bt) cotton, there is still limited work on this technology’s impacts on human health. Due to the inbuilt insect resistance, Bt cotton requires fewer pesticide sprays than conventional cotton, which is not only advantageous from economic and environmental perspectives, but may also result in health benefits for farmers.
Weak public infrastructure may contribute to poverty and inequality. Studies have found that roads are a key factor affecting rural incomes in developing countries. Yet, there is relatively scant evidence of the economic impacts of rural roads at the individual household level. This study contributes to the literature by empirically analysing the effects of rural road construction on household income and income inequality in Nepal.