Artificial Intelligence in Agriculture – Is That Possible?

At one of the recent conferences we’ve discusses the possibility to apply artificial intelligence to agriculture and the great benefits of it.
Through numerous investigations it was found out that economics can make a significant improvement after moving from theoretical artificial intelligence concept to its practical application in the agriculture niche.
Actually, what an artificial intelligence is? First of all, it’s a study of creating software and computers that feature the intelligent behavior.
The machine learning involves computers’ ability to learn from a great variety of calculations and data in order to finally provide an appropriate decision.
One of our experts specified a number of agricultural applications that can be used for technology purposes. One of these applications, which feature artificial intelligence, can fast and easily predict the outcome in the fermentation process in cattle. The expert confirmed that the level of nutritional analysis of a feed, which usually takes up to 48 hours by conventional methods, will take no more than 4 hours with artificial intelligence.
Today there are also available special systems, which can recognize cows’ faces in dairy units. You can monitor and evaluate both individual and group behavior, analyze feeding and body condition score.
When it comes to agriculture, farmers know how important is to timely diagnose cow’s lameness. Measuring the arch in the cow’s back will help to get timely informed about early signs of the problem.
The fact is that you can spend less on feeding the cows once you get aware of what they will and will not eat. Moreover, detecting the lameness of a cow on an early stage, you can save months of lower production.
Artificial intelligence can be also used in the drone technology. Using the drones you can see a detailed picture of crops in the fields. Get a detailed mapping of frost damage in a maze crop, monitor the grass growth and get information about dry matter in a soybean, which can be later used to identify an ideal time for harvest.
If today drones can handle up to 300lbs, one day a fleet of drones will be able to replace professional combine harvesters.
The experts confirm that as the software evolves, the costs for this type of technology will be decreased as it’s already happened to other technologies, which are now commonly used in various industries.
Thanks for reading,
AI.Business Team