Providing Solutions to Help Farmers Feed the World
In 20 years there will be 9.6 billion people to feed, and not enough food. Carnegie Mellon University's FarmView is tackling this problem through a team effort of researchers and robots that will increase crop yields with fewer resources by controlling and measuring the environment then analyzing the data, to provide solutions to farmers across the globe.
MAXIMIZING THE POTENTIAL OF PLANT GENETICS
Timing harvests in cannabis is a highly laborious and technical task that requires significant experience, and the cannabis industry faces a shortage of qualified growers. Mistimed harvests result in an average 3.5% to 5.5% loss in THC content, which can result in more than 20% loss in revenue. Cannabis cultivators on average spend 30% of their annual labor inspecting their crops trying to decide when they should harvest. Despite all this time spent looking closely at their crop, they only sample 10% of their flower to make those decisions. Mistiming harvests results in lower THC yields, which is the primary driving metric in customer purchase decisions, determines pricing, and directly effects growers' revenue.