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Understanding the land Making the most of every acre involves knowing what’s going on under the soil’s surface. Everything from soil chemistry to water levels and the health of individual plants is useful data for farming. Programmers help farmers using sensors in the ground and drones in the sky. Better data means more efficient irrigation, less fertilizer, and higher yields. CS USED: GIS (Geographical Information Systems), autonomous vehicles, remote sensing FIND OUT MORE: Watch a National Geographic video on YouTube about remote sensing and drones in farming at bit.ly/Drones_Farming
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r vision is a field of CS devoted to teaching computers to recognize images in the same wa y that people do. By installing came ras and computer vision systems on food production lines, computer scientis ts can help sort the good produce from the bad, and remove defective products before they’re packed and sh ipped. CS USED: Machine lea rning, computer vision, robotics FIND OUT MORE: Se e if Google’s neural networks can rec ognize your drawings at bit.ly/Quic k_Doodling
In the same wa y fit, farmers are or a smart watch to sta wealth of data from using tech to gather a the movement of their animals, such as individual animals. herds and the health of , embedded CS USED: Data science systems programming eck out the FIND OUT MORE: Ch with wildlife same technology used at bit.ly/W WF_Species
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Understanding the sky
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Even in today’s high-tech world, crops need basics such as sunshine and water to grow. Computer scientists at the National Oceanic and Atmospheric Administration and the National Weather Service work with some of the most powerful supercomputers and the most accurate simulations in the world to help pick the best times to plant and harvest. CS USED: Simulations, computer modeling FIND OUT MORE: Check out bit.ly/Earth_Wind to play with a real-time weather simulation of our planet.
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