FAO assesses that globally 44 countries, of which 34 are in Africa, continue to be in need of external assistance for food. Agricultural droughts have aggravated food insecurity conditions, due to reduced harvests that also caused price hikes. Conflict driven crises continued to be the primary cause of the high levels of severe food insecurity.
2019 could be described as a year of transition, across Europe and the world. With new legislation on data protection in the EU now in place, the greatest challenge moving into 2020 and beyond is to ensure that this legislation produces the promised results. Awareness of the issues surrounding data protection and privacy, and the importance of protecting these fundamental rights, is at an all-time high and this momentum cannot be allowed to decline. This Annual Report provides an insight into all EDPS activities in 2019, which was the last year of a five-year EDPS mandate. EDPS activities therefore focused on consolidating the achievements of previous years, assessing the progress made and starting to define priorities for the future.
Most of the presidential candidates, including President Donald Trump, support using taxpayer funds to provide direct subsidies to farmers through price support, federal crop insurance, and other farm income safety-net programs. While President Trump has proposed cutting crop insurance subsidies in his annual budgets, he has provided unprecedented levels of ad hoc assistance—as much as $28 billion—to compensate farm owners for losses they might have incurred because of the administration’s trade war with China. Most Democratic candidates would target government farm income safety-net and conservation program outlays more toward small and middle-sized farms and away from large farms. All the Democratic Party candidates considered in this report embrace the broad tenets of the Green New Deal and would support policies to reduce carbon emissions and mitigate climate change, including public investments in agricultural research programs. President Trump ostensibly opposes all climate change initiatives that could possibly affect job growth in the US.
Global agriculture industry has undergone significant and dynamic changes in the past decades, specifically with the introduction of technologies introduced to improve crop yield. With the increase in world population leading to the rise in the global demand for food, growers are prompted to adopt the most advanced and productive methods in farming operations to increase crop yield. One of new-age methods applied for increase in production is the new efficient mode of farming known as precision agriculture. This way of farming has resulted in creation of large number of data points leading to the growth of data-driven farming. Consequently, the growers and consumers of agricultural products are left with complex big data to analyze. The analysis for this data has prompted the need for cognitive computing with human-like intelligence in farm equipment and solutions based on such computing to yield healthier crops, as well as to monitor crops and soil conditions, control weeds, aid with farm workload, optimize data for growers, and enhance the farm operation efficiency. The set of cognitive computing technologies introduced in agriculture for the said purpose is known as artificial intelligence technology. The global artificial intelligence in agriculture study offers a wide perspective of different types of product offerings, different farming type, and different applications for which AI technology is offered in the market. The study also analyzes its impact on the agriculture sector by providing critical insights into the direction of its future expansion. The research is based on extensive primary interviews (in-house experts, industry leaders, and market players) and secondary research (a host of paid and unpaid databases), along with the analytical tools that have been used to build the forecast and the predictive models. This report has been designed to answer some of the most crucial questions about the artificial intelligence in agriculture market.
Agricultural commodity prices as measured by the Bcom ag index have only risen in one year out of the last seven, in 2016. And that was only by 1.8%. But losses, which amount to nearly 50% over that sevenyear stretch, at least slowed last year, to less than 1%, with hopes of a China-US trade deal, and South East Asian biodiesel growth, among spurs to a late-2019 recovery. As to whether that revival will set the tone for the new year, Agrimoney has, for the first time, compiled outlooks from key commentators to offer clues as to how the year may pan out for the major contracts.