IoT based Agro Automation System using Machine Learning Algorithms
نویسنده
چکیده
The needs and necessities of an agro automation system in large scale applications for monitoring various parameters are on a rise. The overview of all core challenges faced by the farmers can highly be overcome with the proposed 'IoT based Agro Automation System using Machine Learning Algorithms' which is established through multiple sensor fusion with the affirmation of results in a hybrid app. A semi-autonomous agro robot with a completely secured and reliable system is deployed for simplifying the endeavours undertaken by farmers. The monitoring and analysis is achieved with the use of PTC ThingWorx cloud computing platform and the experimental results are defined with high accuracy taking into consideration of many case studies predominantly evaluated for the development of this system in all agricultural applications.
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تاریخ انتشار 2016