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Precision agriculture (PA) is a management strategy that gathers, processes and analyzes temporal, spatial and individual plant and animal data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of ...
The E-agriculture in Action series of publications, by FAO-ITU, that provides guidance on emerging technologies and how it could be used to address some of the challenges in agriculture through documenting case studies. E-agriculture in Action: Big Data for Agriculture [22] E-agriculture in Action: Blockchain for Agriculture [23]
Microsoft's Aurora system offers global 10-day weather and 5-day air pollution (CO 2, NO, NO 2, SO 2, O 3, and particulates) forecasts with claimed accuracy similar to physics-based models, but at orders-of-magnitude lower cost. Aurora was trained on more than a million hours of data from six weather/climate models.
Farm-level adoption of digital agriculture varies within and between countries, and uptake differs by technology. Some characterize precision agriculture uptake as rather slow. [106] In the United States in 2010-2012, precision agriculture technologies were used on 30-50% of corn and soybean acreage. [82]
The development of quantitative methods for livestock production includes mathematical modelling based in plant-herbivore or predator-prey models to forecast and optimise meat production. An example is the Predator-Prey Grassland Livestock Model (PPGL) [ 7 ] to address the dynamics of the combined grass-animals system as a predator-prey ...
The combine grain yield monitor is a device coupled with other sensors to calculate and record the crop yield or grain yield as a modern-day combine harvester operates. Yield monitors are a part of the precision agriculture products available to producers today that provide producers with the tools to reduce costs, increase yields, and increase efficiency.
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Over the past three decades ECMWF's wide-ranging programme of research has played a major role in developing such assimilation and modelling systems. This improves the accuracy and reliability of weather forecasting by about a day per decade, so that a seven-day forecast now (2015) is as accurate as a three-day forecast was four decades ago (1975).