Abstract: A device for detecting a windrow deposited on an agricultural area to be worked is disclosed. The device includes a camera configured to generate an image of the windrow deposited on the agricultural area and a computing unit that is configured to use artificial intelligence in order to evaluate the image. The artificial intelligence may be configured to identify a harvested material windrow in the image. The computing unit may be configured to determine a position of the harvested material windrow on the agricultural area to be worked.

Abstract: Computer-readable media, methods, and systems are disclosed for minimizing data volume growth in a database system under changes to an encryption status of a plurality of data pages persisted to a database. Initially, a request is received to update an encryption parameter associated with the database. Next, it is determined whether a candidate page requires encryption changes. In response to determining that the candidate page is not currently in use by one or more active database snapshots and not currently loaded in main memory, the candidate page is loaded into main memory. Next, an encryption operation is performed on the candidate page, and the encrypted page is designated for persistence. Finally, based on a current number of candidate pages already encrypted during a current save point cycle, the selective iteration is paused until a subsequent save point cycle.

Abstract: A swarm assistance system for autonomous agricultural universal production machines is disclosed. The swarm assistance system is integrated into an agricultural work network. The agricultural work network connects autonomous agricultural universal production machines as providers of agricultural jobs and customers of agricultural jobs with each other and with the swarm assistance system. The autonomous agricultural universal production machines are configured to perform a plurality of different agricultural jobs by being equipped with changing work assemblies. The swarm assistance system receives request data relating to a requested agricultural job from the customers, matches the request data with capacity data of at least one of the agricultural universal production machines and, based on the result of the matching, rents at least one agricultural universal production machine to perform the requested agricultural job.

Abstract: A method for monitoring autonomous agricultural production machines is disclosed. The autonomous agricultural production machine autonomously performs an agricultural job. When an anomaly occurs, the autonomous agricultural production machine performs a response routine, interrupting the performance of the agricultural job. The autonomous agricultural production machine senses anomaly data during and/or after the response routine and transmits the anomaly data to a remote monitoring center in a reporting routine that a user may access in the remote monitoring center. The remote monitoring center generates, based on the anomaly data, a control instruction and transmits the control instruction to the autonomous agricultural production machine to execute in order to further respond to the anomaly and thereafter continue to perform the agricultural job.

Abstract: An assistance system based on electronic data exchange for enabling an autonomous vehicle to act as an autonomous agricultural production machine and an autonomous agricultural production machine is disclosed. The assistance system is configured to plan the deployment of at least one autonomous vehicle, to transmit the information required for the deployment to the autonomous vehicle, to at least partially control the autonomous vehicle during working mode and to monitor the working mode of the autonomous vehicle.

Abstract: A method and a system for monitoring the operation of at least one autonomous agricultural production machine is disclosed. The method comprises collecting data representing the operating parameters and environmental parameters of the autonomous agricultural production machine and detecting an irregularity based on the data. Once an irregularity is determined, the collected data are transmitted to a database and saved there. The irregularity is identified by processing the collected data in an analysis routine, and an instruction is generated for switching the autonomous agricultural production machine from a safe operating state to a normal operating state depending on the identified irregularity, and the instruction is executed.

Abstract: A method and a system for deployment planning and coordinating a vehicle fleet comprising a plurality of agricultural work vehicles is disclosed. Different agricultural work processes may be performed on a field with the work vehicles having a work unit for performing at least one of the agricultural work processes. At least one work vehicle of the vehicle fleet is operated autonomously. Further, the database-driven management system may generate the deployment plan. For example, while planning a particular agricultural work process comprising a sequence of work steps, the work vehicles in the vehicle fleet are coordinated with one another by assigning at least one autonomous work vehicle to a respective work step of the agricultural work process with operational parameters being transmitted to the autonomous work vehicle in order to perform the assigned respective work step.

Abstract: Computer-readable media, methods, and systems are disclosed for minimizing data volume growth in a database system under changes to an encryption status of a plurality of data pages persisted to a database. Initially, a request is received to update an encryption parameter associated with the database. Next, it is determined whether a candidate page requires encryption changes. In response to determining that the candidate page is not currently in use by one or more active database snapshots and not currently loaded in main memory, the candidate page is loaded into main memory. Next, an encryption operation is performed on the candidate page, and the encrypted page is designated for persistence. Finally, based on a current number of candidate pages already encrypted during a current save point cycle, the selective iteration is paused until a subsequent save point cycle.

Abstract: An agricultural working machine with a driver assistance system is disclosed. The driver assistance system controls driving functions of the agricultural working machine and at least one working assembly of the agricultural working machine in the context of performing a work process. The driver assistance system accesses a set of rules in the form of control strategies to control the at least one work assembly according to a specific control strategy. The driver assistance system includes an interface to communicate with an external computer unit, which is remote from the agricultural working machine, and through which data can be exchanged between the driver assistance system and the external computer unit. For example, the driver assistance system receives data from the external computer unit via the interface during the work process of the agricultural working machine, and selects the control strategy for performing the work process based on the data.

Abstract: Techniques are described for detecting the presence of regressions in software, such as software that is being developed and tested in a development environment. Compiled code can be instrumented to introduce annotations to the compiled code. For example, the annotations can be added at the start and end of a code section, where a code section can be specified at any suitable degree of specificity (e.g., a line of code, a function, a component, multiple components, and so forth). When the instrumented code is executed, the annotations generate timing information that describes the execution times of the various annotated code sections. The timing information can be analyzed and compared to previously generated timing information for the code base, and detected differences may trigger actions such as reports, alerts, denied requests to pull code from the source repository, rejected code check-ins, bug reports, and so forth.

Abstract: An endless loop in an inference engine processing a set of rules according to facts stored in a database may be detected by: (a) analyzing the set of rules to identify a subset of the set of rules comprising rules that are triggered by an updated fact; (b) executing the rules of the subset; (c) updating at least one of the facts based on the execution of the rules; (d) storing an identifier for each executed rule of the subset; (e) associating each stored identifier with a subset number for the subset in a consecutive sequence of subset numbers for executed subsets; and repeating steps (a)-(e) until the identifier for a rule, to be executed, is associated with an excessive number of subset numbers that are equally offset from each other in the sequence of subset numbers for executed subsets.

Abstract: Methods, systems, and computer program products for discovering network connected devices are described. A semantic query for a network connected device is parsed, with the semantic query identifying one or more capabilities of a desired network connected device. A network address of a network connected device satisfying the parsed semantic query is identified and a query response identifying the network address of the network connected device is provided.

Abstract: A motivational system computer platform may retrieve a current motivational rule set (e.g., a program's motivational mechanism) from a motivational rule set data store. The system may then arrange to execute the program such that inputs from a remote user device are applied to the current motivational rule set resulting in current motivational feedback that is stored into a current motivational feedback data store and transmitted to the user device. The motivational system computer platform may also retrieve a shadow motivational rule set from the motivational rule set data store. The system may then arrange to execute the program such that inputs from the user device are also applied to the shadow motivational rule set, in parallel with the current motivational rule set, resulting in shadow motivational feedback that is stored into a shadow motivational feedback data store without being transmitted to the user device.

Abstract: The present disclosure involves systems, software, and computer-implemented methods for asynchronous session storing. An example method includes receiving, by a first thread of a data processing apparatus, a backup trigger for backing up session of an application being executed by a second, separate thread of the data processing apparatus; serializing, by the first thread of the data processing apparatus, session, wherein serializing the session comprises blocking execution of the application by the second thread of the data processing apparatus; storing the serialized session into a database; and validating the stored session.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for allowing Internet of Things (IoT) solutions to be integrated using common underlying vocabularies and lightweight reasoning to connect applications and validate IoT device data. In one example method, application-specific vocabularies for each of a plurality of applications are identified at design time, wherein each of the applications is associated with a corresponding vocabulary. At design time and for each application, an explicit mapping of the application-specific vocabulary of a particular application to a corresponding common vocabulary is identified. At runtime, implicit mappings between a first application and a second application to be integrated are computed based on the explicit mapping of the application-specific vocabulary of the first application to the common vocabulary and the explicit mapping of the application-specific vocabulary of the second application to the common vocabulary.

Abstract: Techniques are described for detecting the presence of regressions in software, such as software that is being developed and tested in a development environment. Compiled code can be instrumented to introduce annotations to the compiled code. For example, the annotations can be added at the start and end of a code section, where a code section can be specified at any suitable degree of specificity (e.g., a line of code, a function, a component, multiple components, and so forth). When the instrumented code is executed, the annotations generate timing information that describes the execution times of the various annotated code sections. The timing information can be analyzed and compared to previously generated timing information for the code base, and detected differences may trigger actions such as reports, alerts, denied requests to pull code from the source repository, rejected code check-ins, bug reports, and so forth.

Abstract: A motivational system computer platform may retrieve a current motivational rule set (e.g., a program's motivational mechanism) from a motivational rule set data store. The system may then arrange to execute the program such that inputs from a remote user device are applied to the current motivational rule set resulting in current motivational feedback that is stored into a current motivational feedback data store and transmitted to the user device. The motivational system computer platform may also retrieve a shadow motivational rule set from the motivational rule set data store. The system may then arrange to execute the program such that inputs from the user device are also applied to the shadow motivational rule set, in parallel with the current motivational rule set, resulting in shadow motivational feedback that is stored into a shadow motivational feedback data store without being transmitted to the user device.

Abstract: The present disclosure relates to computer-implemented methods, software, and systems for allowing Internet of Things (IoT) solutions to be integrated using common underlying vocabularies and lightweight reasoning to connect applications and validate IoT device data. In one example method, application-specific vocabularies for each of a plurality of applications are identified at design time, wherein each of the applications is associated with a corresponding vocabulary. At design time and for each application, an explicit mapping of the application-specific vocabulary of a particular application to a corresponding common vocabulary is identified. At runtime, implicit mappings between a first application and a second application to be integrated are computed based on the explicit mapping of the application-specific vocabulary of the first application to the common vocabulary and the explicit mapping of the application-specific vocabulary of the second application to the common vocabulary.

Abstract: A method and system including a code comment module; a unified code processor in communication with the code comment module and operative to execute processor-executable process steps to cause the system to: receive initiation of an integrated development environment program; receive at least one element; initiate an editor in response to the received at least one element; receive a markup annotation, wherein the markup annotation is associated with the received at least one element; receive one or more comments to be formatted by the received markup annotation; and display the at least one element and the formatted comment. Numerous other aspects are provided.

Abstract: The present disclosure involves systems, software, and computer implemented methods for database scaling for multi-tenant applications. One example method includes receiving an indication to migrate a tenant of an application from a default database to a scale database. The tenant is locked. At least one stateful component that includes state information for the tenant is identified. The state information is serialized. The identified stateful component(s) are shut down. Data for the tenant is copied from the default database to the scale database. The tenant is assigned to the scale database. The serialized state information is de-serialized to generate de-serialized state information, and the de-serialized state information is stored in the scale database. The stateful component(s) are restarted and the tenant is unlocked.