Abstract: Approaches presented herein enable asset identification for collaborative projects in software development. More specifically, a plurality of assets is identified. Content provided by at least one asset of the plurality of assets is determined. A project that is associated with the content provided by the at least one asset is determined. A repository associated with the project to include the at least one asset is updated.

Abstract: A method and system of generating a documentation includes monitoring user actions regarding a model development, wherein the user actions are captured in a source code development environment. Semantic meaning is provided for each user action captured in the source code development environment. A degree of impact of each user action is determined in connection with the model. Actions having a degree of impact in the development of the model that is above a predetermined threshold are identified as impactful actions. An interactive knowledge graph is identified based on the user actions, semantic meaning of each action, and the determined degree of impact of each user action. The interactive knowledge graph is provided to be displayed in a navigable way.

Abstract: Approaches presented herein enable asset identification for collaborative projects in software development. More specifically, a plurality of assets is identified. Content provided by at least one asset of the plurality of assets is determined. A project that is associated with the content provided by the at least one asset is determined. A repository associated with the project to include the at least one asset is updated.

Abstract: Techniques for automatically recreating data removed from storage are disclosed. A request to access data at a first storage location is received. It is determined, based on a catalog and using a computer processor, that the data has been removed from the first storage location. In response the data at the first storage location is automatically recreated using the computer processor. The recreating includes identifying a second storage location for the data, based on the catalog, retrieving the data from the second storage location, and storing the data at the first storage location. The catalog is updated to reflect recreating the data at the first storage location.

Abstract: Techniques for automatically recreating data removed from storage are disclosed. A request to access data at a first storage location is received. It is determined, based on a catalog and using a computer processor, that the data has been removed from the first storage location. In response the data at the first storage location is automatically recreated using the computer processor. The recreating includes identifying a second storage location for the data, based on the catalog, retrieving the data from the second storage location, and storing the data at the first storage location. The catalog is updated to reflect recreating the data at the first storage location.

Abstract: Sensor data is detected from at least one sensor selected and installed for detecting operating conditions of at least one equipment. The sensor data includes an operating condition of at least one equipment. The sensor is selected dependent on indications of a user restriction and a predictive model. A sensor data signal is generated dependent on the sensor data. The sensor data signal is transmitted to a network device for collecting the sensor data and transforming the collected sensor data into a formatted transmission signal having a format for transmission over a network to a network server. The network server receives the formatted transmission signal for performing on-demand service of at least one of analysis, reporting and visualization dependent on the operating condition.

Abstract: One example of a computer-implemented method for adaptively placing weather sensors in response to dynamic local conditions includes obtaining a set of data indicating a dynamic local condition in a geographic location of interest and adaptively modifying a placement of a plurality of weather sensors in the geographic location of interest in response to the dynamic local condition.

Abstract: One example of a computer-implemented method for adaptively placing weather sensors in response to dynamic local conditions includes obtaining a set of data indicating a dynamic local condition in a geographic location of interest and adaptively modifying a placement of a plurality of weather sensors in the geographic location of interest in response to the dynamic local condition.

Abstract: One example of a computer-implemented method for adaptively placing weather sensors in response to dynamic local conditions includes obtaining a set of data indicating a dynamic local condition in a geographic location of interest and adaptively modifying a placement of a plurality of weather sensors in the geographic location of interest in response to the dynamic local condition.

Abstract: An agricultural material application management system includes an automated agricultural data collection vehicle including a location sensor. The automated agricultural data collection vehicle includes a receiver that receives sensor data including crop information, a memory that stores the plurality of locations and the sensor data, and a processor that generates a mapping correlating the crop information with the plurality of locations in the agricultural area, and generates an agricultural material application recommendation for each of the plurality of locations based on the mapping. The agricultural material application management system includes an agricultural vehicle including an interface unit that interfaces with the automated agricultural data collection vehicle and receives the agricultural material application recommendations from the agricultural data collection vehicle.

Abstract: An agricultural material application management system includes an automated agricultural data collection vehicle including a location sensor. The automated agricultural data collection vehicle includes a receiver that receives sensor data including crop information, a memory that stores the plurality of locations and the sensor data, and a processor that generates a mapping correlating the crop information with the plurality of locations in the agricultural area, and generates an agricultural material application recommendation for each of the plurality of locations based on the mapping. The agricultural material application management system includes an agricultural vehicle including an interface unit that interfaces with the automated agricultural data collection vehicle and receives the agricultural material application recommendations from the agricultural data collection vehicle.

Abstract: Sensor data is detected from at least one sensor selected and installed for detecting operating conditions of at least one equipment. The sensor data includes an operating condition of at least one equipment. The sensor is selected dependent on indications of a user restriction and a predictive model. A sensor data signal is generated dependent on the sensor data. The sensor data signal is transmitted to a network device for collecting the sensor data and transforming the collected sensor data into a formatted transmission signal having a format for transmission over a network to a network server. The network server receives the formatted transmission signal for performing on-demand service of at least one of analysis, reporting and visualization dependent on the operating condition.

Abstract: A system for managing items. The system includes a sensor for identifying a first physical object and a second physical object in a building. A computer interface in communication with the sensor is configured to receive a first identification of the first physical object and a second identification of the second physical object. A computer with at least one central processing unit is configured to automatically search for trend information about the first physical object, determine a first interaction between the first physical object and the second physical object based on the first identification of the first physical object and the second identification of the second physical object, and recommend disposition of the first physical object based on the first interaction between the first physical object and the second physical object, and the trend information about the first physical object.

Abstract: One example of a computer-implemented method for adaptively placing weather sensors in response to dynamic local conditions includes obtaining a set of data indicating a dynamic local condition in a geographic location of interest and adaptively modifying a placement of a plurality of weather sensors in the geographic location of interest in response to the dynamic local condition.