2018/07/16: Machine Learning is eliminating the time wasted in traditional programming and instead gets computers to program themselves. In a nutshell – machine learning is like farming; nutrient is the main data, gardener is the farmer, seed is the algorithm while the plant is the program.
Thus the key areas machine learning plays its critical role is:
Computational biology – designing remedy to diseases or simply drugs;
Breeding and coming up with ideal traits;
Predicting the climate change;
Robotics and auto driven tractors
Soil nutrient evaluation; among others
Water is something that every living thing needs, but it can be problematic making sure that water gets to every living thing - not just people and animals, but plants as well. Irrigation is important for farming, but it's often ineffective and wasteful.
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It's hard to believe, but seed planting hasn't changed much in the last century. But as John Deere and Monsanto move big into precision farming, high-tech solutions may be shaking all that up.
Leave behind one man and his dog, enter one man and his drone.
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Farming has been "a rip-off system ever since day one," says California's Tom Willey -- and if we're going to improve that system, we'd better understand what makes it tick.