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Scientists from Skoltech have trained neural networks to evaluate and predict the plant growth pattern taking into account the main influencing factors and propose the optimal ratio between the nutrient requirements and other growth-driving parameters.

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Cornell University will lead a new global crop improvement research program to advance plant breeding tools, technologies and methods aimed at delivering staple crops that can increase yields, enhance nutrition and show greater resistance to pests and diseases.

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Iowa State University scientists are working toward a future in which farmers can use unmanned aircraft to spot, and even predict, disease and stress in their crops. Their vision relies on machine learning, an automated process in which technology can help farmers respond to plant stress more efficiently. 

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Soon, soybeans will be bred to yield stable oil without the addition of dangerous trans fats. Lettuce will be grown to handle warmer, drier fields. Wheat to contain less gluten. And pigs bred to resist deadly viruses. Someday, maybe even strawberry plants whose delicate berries can be picked by machine instead of by hand.

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Using high-tech tools, Agricultural Research Service (ARS) scientists and their cooperators have taken a deep dive into the microbial "soup" of the cow's rumen, the first of four stomach chambers where tough plant fibers are turned into nutrients and energy.

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The identification of the native flora of Costa Rica now has a new ally thanks to an application that will permit users to identify and know the characteristics of the plants of the country.