Ciprian Tripon, Antonia Odagiu, Ioan Oroian
Presently, a large variety of mechatronic systems are implemented in precision agriculture. The mechatronic systems are also often used for monitoring the sub-processes involved in a complex agricultural system, while to each sub-process, corresponds a sub-system. The involved sub-systems are often interconnected by IoT (Internet of Things). The concept of Internet of Things aims a series of elements, which are the components of a network of sensors, elements, etc. In order to manage these networks, which are usually made up of huge amounts of data, special approaches are needed, involving complex computing tools (e.g. Big data, Cloud Computing, etc.). An advantage of including these tools is that human factor is not needed in computational stage, the existence of a compatible devices network being enough. Examples of using Internet of Things (IoT) in agriculture are: the networks of measuring climatic factors stations (including weather forecasting systems), placed in different points of an agricultural field, orchard, etc.; wireless sensors destined to perform real time measurements of soil pH, moisture, etc., located in different points of an agricultural field, and examples may continue. These considerations show the importance of wireless systems and solutions for implementation of mechatronics in agriculture. These systems include besides applications as GPS (Global Positioning System), RS (Remote Sensing), or GIS (Geographic Information System), a large variety of technologies, as: IrDA (Infrared data Association), WPAN (Wireless Personal area Network), multi-hop WLAN (Multi-hop Wireless Local Area Network), Bluetooth, etc. Practicing precision agriculture involves the use of agricultural equipment that performs fully automated or even autonomous works, from the land preparation sowing, and treatment phase, to harvesting, using satellite navigation systems and correlating the geographical position with the type of decision to be taken (localized fertilizers for example), weighing in real time the harvested products, or drawing up land productivity maps. Our research was developed in the year 2018, on West Plain, Benecu de Jos, Timiș County, and aimed to multispectral monitoring of the vegetation indices of a barley culture, using ”Dorne Technology”. The collected indices were georeferenced, and based on input data best fertilization solutions were formulated.
drone technology, IoT, GIS, GPS
Sustainable Development, Environmental Engineering and Geomatics
Presentation: oral