Artificial Intelligence in Agriculture: Understanding Crop Growth
There are many different types of potential applications of AI in agriculture -- ranging from machine control, to image analysis, to improving our understanding of where, when, and how a crop might respond toparticular environmental conditions.
Big Data Suggests Big Potential for Urban Farming
Amy Crawford for CityLab: A global analysis finds that urban agriculture could yield up to 10 percent of many food crops, plus a host of positive side benefits.
Why Some Young Workers Are Leaving White-Collar Jobs for Farming
Gina Belli for Pay Scale: There arent enough young farmers in this new generation to replace the ones who are retiring. But, the shift could "contribute to the growth of the local food movement and could help preserve the place of midsize farms in the rural landscape"
Giving agriculture a global do-over could feed nearly a billion more people
Diana Gitig for Ars Technica: "We find that the current distribution of crops around the world neither attains maximum production nor minimum water use."
Princeton's Vertical Farming Project harvests knowledge for a budding industry
Morgan Kelly, Princeton Environmental Institute: Princeton Universitys Vertical Farming Project began at a conference in 2016 when the topic turned to increasing the crop yield of hydroponic systems
Dealers Expecting Growth in Precision Farming Activities
USAgNet: So what are retailers anticipating in 2017? Some 59% of all dealers forecast revenue growth of at least 2% this year, with about 15% projecting growth of at least 8%.
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