Agricultural climate data connectivity platform.

Abstract

Invention details;

Claims

25 / Aquaculture)[1] has data stored in a processing area (Calculationarea)[2] that has a robot program[5] for accessing data within the cloud system[3],[4]. Instead of the user (User)[7] The robot program is built from three components in the virtual computing system: the operating element, the user interface. The operating element and the processing element together make up the virtual unit30 within the cloud processor as follows: The operating element consists of: the user interface in the form of a set of human language commands (APINaturallanguageplatform)[80],[89]35; the data interface (IoTbrokerplatform)[81]. User interface element? Data storage section (Physical database)[85]? Data characterization section (Signal characterization analysis)[86] The Processing element is responsible for receiving and verifying data and commands.[87]40 The Processing element consists of: Pattern analysis[82] and physical event synthesis[83]. Dialoelement[84],[88].45 The Processing element, Interface element, and Operating element are connected to work in sequence according to the main flowchart when a command is first received from the user. The platform for connecting agricultural climate data under rights 1 and rights 2 also consists of a data storage area that receives data processing and is organized according to the data development steps from the operational element, the interface element, and the processing element from the data set. Physical data is entered into the menu system as follows: Raw data[50] which is time-adjusted to the same time coordinates[51]; Event pattern data which is processed and consists of 10 agricultural data according to the WEWA data architecture, namely weather data[61], equipment data[62], water quality data[63], agricultural data[64]; Numerical data for each detected event which consists of Quantitative data for weather events[56], equipment characteristics events[57], water quality events[58], events occurring for plants or aquatic animals in agricultural areas[59]? Data on events according to the metrics of the variables are: A set of messages (Dialog) for each event: weather data[52], equipment data[53], water quality data[54], agricultural data[55], weather and water dimension event data[64], environmental and biodiversity dimension event data[65], environmental and equipment dimension event data[66]. The platform for connecting agricultural climate data is designed to Operating in a cloud environment with an open platform architecture, users can customize 25 details according to the data structure, mathematical tools, and processing functions under a 3D processing model. The platform is designed for accessing agricultural data in a physical event-based manner, allowing for both data reading and direct command transmission from around the world to dedicated internet devices and variables installed in agricultural areas. This unique innovation utilizes the WEWA data architecture, a model of 30 data groups representing all internet devices installed in agricultural areas but residing in a cloud processing environment, enabling interconnected data variables. With paths in the matrix and specifying at least one sub-event, totaling a specific physical event that corresponds to the user's interest in the agricultural area, in a menu format through the program, there are virtual events that limit the number of sub-events according to the data group, format 35, variation and connection paths in the matrix, limited number according to the mathematical format within the cloud system, but with variety in interpreting results as specific physical events within the agricultural area 404550;