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Rough crop around single person of interest with 14 joint labels 2000 Images plus .mat file labels Human pose estimation 2010 [223] S. Johnson and M. Everingham Leeds Sports Pose Extended Training Articulated human pose annotations in 10,000 natural sports images from Flickr. 14 joint labels via crowdsourcing 10000 Images plus .mat file labels
Emerging digital technologies have the potential to be game-changers for traditional agricultural practices. The Food and Agriculture Organization of the United Nations has referred to this change as a revolution: "a 'digital agricultural revolution' will be the newest shift which could help ensure agriculture meets the needs of the global population into the future."
An example of a multiple disease/pest forecasting system is the EPIdemiology, PREdiction, and PREvention (EPIPRE) system developed in the Netherlands for winter wheat that focused on multiple pathogens. [6] USPEST.org graphs risks of various plants diseases based on weather forecasts with hourly resolution of leaf wetness.
The value and production of individual crops varies substantially from year to year as prices fluctuate on the world and country markets and weather and other factors influence production. This list includes the top 50 most valuable crops and livestock products but does not necessarily include the top 50 most heavily produced crops and ...
The first wave of the precision agricultural revolution came in the forms of satellite and aerial imagery, weather prediction, variable rate fertilizer application, and crop health indicators. [19] The second wave aggregates the machine data for even more precise planting, topographical mapping, and soil data.
The successful prediction of a stock's future price could yield significant profit. The efficient market hypothesis suggests that stock prices reflect all currently available information and any price changes that are not based on newly revealed information thus are inherently unpredictable. Others disagree and those with this viewpoint possess ...
The Billion Prices Project (BPP) was an academic initiative at MIT Sloan and Harvard Business School that uses prices collected from hundreds of online retailers around the world on a daily basis to conduct research in macro and international economics and compute real-time inflation metrics. [1]
Foundation models are built by optimizing a training objective(s), which is a mathematical function that determines how model parameters are updated based on model predictions on training data. [34] Language models are often trained with a next-tokens prediction objective, which refers to the extent at which the model is able to predict the ...