The employment of artificial intelligence (AI) and automation in agriculture technology (agtech) is giving rise to new developments and innovations in the agricultural sector. One such innovation is Taranis, an agricultural AI and machine learning (ML) platform, which uses complex computer vision, data science, and deep learning algorithms to assist the farmers.
The platform is used to monitor the fields and gather data regarding the health of the crop, growth of weeds, deficiencies in the soil, insect infestations, water, and equipment problems among other factors related to farming. The AI platform is being used all over the world, including the U.S., Russia, Brazil, Argentina, and Ukraine. Taranis supplies information to the farmers which enables them to take necessary measures to prevent diseases, weeds, and insects. The platform is augmented with visual layers from satellites, planes, and drones.
Equipped with state-of-the-art visual systems, it has the capability of monitoring the entire field. Deep learning technology is used by the software to recognize different problems according to the crop and soil. The process requires correct datasets from thousands of symptoms manually listed and tagged by a team of agronomists. Once the datasets have been uploaded into the system, the platform can easily recognize the problem and offer prescriptions to resolve it.
The Taranis provider aims to expand and automate its database of crops, weeds, diseases, and insects, by installing more sensor streams on the ground. It also plans on collaborating with crop insurance companies to help farmers in filing insurance claims. Once it has expanded its database, Taranis will be able to aid farmers in production and marketing.
The data gathered by Taranis can be used in autonomous tractors to spray insecticides and pesticides or carry out other farm operations. The tractors are equipped with GPS and have the capability of planting, spraying, and harvesting in the field. The visual platform by Taranis has made it easy for the farmers to keep track of their vast acres of grounds.
The adoption of AI in smart farming is likely to increase the use of autonomous tractors, irrigation systems, and drones. Crop management systems such as Taranis will empower farmers to monitor their fields and take timely decisions to get optimum yield.