Smart Farming redefining Agriculture

Artificial intelligence (AI) and its subsets represent some of the newest avenues that benefit the agribusinesses to transform the conventional farming method to smart farming. With the adoption of technology like 3D-mapping, farming lands can be altered into virtual environments.

So, farmers can aid remote equipment monitoring control, create different scenarios of crop cultivation, and can incorporate other things. The steps are the commencement to discover the possible layering of digital information onto the physical worlds.

Machine Learning in Agriculture

Machine learning (ML) is an application of Artificial Intelligence (AI). The technique is derived from computational statistics through which one can feed a colossal amount of data into statistical models to train the models to identify patterns in future records.

In agriculture, ML can work on the dataset fed by the ML algorithm, and the algorithm improves over time. Farms can generate a lot of useful data on weather, crop health, soil, and more. Taking into consideration the ability of ML, agribusiness leaders need to recognize the impending value of the applications that machine learning has in the field of farming.

Check out: Agriculture StartUps Technology

HOW THE AG INDUSTRY IS (AND HAS BEEN) DRIVING AUTOMATION IN TRANSPORTATION