Fox News medical contributor Dr. Marc Siegel reacts to a'CBS Saturday Morning' report on how eating bugs could help fight climate change on'Fox News Tonight.' Farmers in the United Kingdom have started using artificial intelligence (AI) systems to help monitor their fields and protect them from dangerous creatures -- such as animals and insects. "It's pretty much like having a real human sitting here 24/7 and listening when we tell it to listen," developer Conrad Young said of his Chirrup system, which can identify bird species from recordings of chirps. The British-made program analyzes the "dawn chorus," or the early morning chirping that occurs when birds greet the sunrise. With each successive recording, the program is able to better identify all the birds in the area and help create a detailed database of the total biodiversity in the area.

Dutch cress grower Rob Baan has enlisted high-tech helpers to tackle a pest in his greenhouses: palm-sized drones seek and destroy moths that produce caterpillars that can chew up his crops. "I have unique products where you don't get certification to spray chemicals and I don't want it," Baan said in an interview in a greenhouse bathed in the pink glow of LED lights that help his seedlings grow. His company, Koppert Cress, exports aromatic seedlings, plants and flowers to top-end restaurants around the world. A keen adopter of innovative technology in his greenhouses, Baan turned to PATS Indoor Drone Solutions, a startup that is developing autonomous drone systems as greenhouse sentinels, to add another layer of protection for his plants. The drones themselves are basic, but they are steered by smart technology aided by special cameras that scan the airspace in greenhouses.

Monsanto has drawn plenty of criticism for its technology-driven (and heavily litigious) approach to agriculture, but its latest effort might just hint at the future of farming. It's partnering with Atomwise on the use of AI to quickly discover molecules that can protect crops against disease and pests. Rather than ruling out molecules one at a time, Atomwise will use its deep learning to predict the likelihood that a given molecule will have the desired effect. It's whittling down the candidate list to those molecules that are genuinely promising. The move could save massive amounts of time and money. Monsanto notes that typical crop protection takes 11 years to reach the market, and costs $250 million to develop.