
The high amount of herbicide use of the existing tractor mounted sprayers and the increase in the cost of agricultural products accordingly.
First of all, our deep learning technology is based on CNN models through object detection on edge computing platforms with mobile power management for tractor. We bring multidiscipliniary approach that reduces the user experience to a sing unit by building a complete system with a single interact point for user. This approach creates ease of use since we do not expect user to change its usage habit. This way, user can use the product as it uses the conventional ones. Therefore, to achieve this kind of usage simplicity we developed unique imlementations such a;s developing a special mother board to power and organize embedded computer and other hardwares through tractors battery, creating crop based unique deep learningmodels with rich datasets and universialized liquid management system. These unique developments makes our approach special and creates a hard to duplicate solutionon the matter.
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