Genetically engineered (GE) foods apply new molecular technologies to Widely adopted in the United States, Brazil, and Argentina for the p corn, soybeans, and cotton, they are practically banned in Europe and tigh throughout the world. We have found that GE foods have significantly incr of corn, soybean, and cotton, and lowered their prices, thus improving food foods have already contributed to a reduction in the use of pesticides and
A group of researchers and industry writers have constructed a narrative of technological triumph for Bt cotton in India, based on an empirical record of superior performance compared to conventional seed. Counterclaims of Bt cotton failure are attributed to mutually reinforcing interactions among non-governmental organisations which avoid rigorous comparisons. However, researchers and the biotechnology industry are also engaged in a similar authentication loop for generating, validating, and publicising such facts.
This article rebuts the argument that shortcomings in Bt cotton studies and divergence between yield gains and extent of adoption of Bt hybrids make it impossible to conclusively say anything about the impact of genetically modified seeds. Further, it points out that there have been numerous studies that have controlled for selection and cultivation bias, and concluded that Bt cotton has had statistically significant positive yield effects.
ABSTRACT. In the last decades, a growing scholarship has outlined the crucial role of social networks as a source of resilience. However, with regard to the Global South, the role of social networks for the resilience of rural communities remains an under- researched and underconceptualized issue, because research remains scattered between different strands and has rarely been integrated from a resilience perspective.
Agricultural innovation in low-income tropical countries contributes to a more effective and sustainable use of natural resources and reduces hunger and poverty through economic development in rural areas. Yet, despite numerous recent public and private initiatives to develop capacities for agricultural innovation, such initiatives are often not well aligned with national efforts to revive existing Agricultural Innovation Systems (AIS).
Grown in Jamaica since the days of slavery, food yams are major staples in local diets and a significant non-traditional export crop. The cultivation system used today is the same as 300 years ago, with alleged unsustainable practices. A new cultivation system called minisett was introduced in 1985 but the adoption rate twenty four years later is extremely low.
The agricultural industry is getting more data-centric and requires precise, more advanced data and technologies than before, despite being familiar with agricultural processes. The agriculture industry is being advanced by various information and advanced communication technologies, such as the Internet of Things (IoT). The rapid emergence of these advanced technologies has restructured almost all other industries, as well as advanced agriculture, which has shifted the industry from a statistical approach to a quantitative one.
Indicator-based tools are widely used for the assessment of farm sustainability, but analysts still face methodological and conceptual issues, including data availability, the complexity of the concept of sustainability and the heterogeneity of agricultural systems. This study contributes to this debate through the illustration of a procedure for farm sustainability assessment focussed on the case study of the South Milan Agricultural Park, Italy. The application is based on a set of environmental, social and economic indicators retrieved from the literature review.
The process of adopting innovation, especially with regard to precision farming (PF), is inherently complex and social, and influenced by producers, change agents, social norms and organizational pressure. An empirical analysis was conducted among Italian farmers to measure the drivers and clarify “bottlenecks” in the adoption of agricultural innovation. The purpose of this study was to analyze the socio-structural and complexity factors that affect the probability to adopt innovations and the determinants that drive an individual’s decisions.
In recent decades, the confluence of different global and domestic drivers has led to progressive and unpredictable changes in the functioning and structure of agri-food markets worldwide.