Abstract: An assistance system for optimizing a forage harvesting process is disclosed. The assistance system supports a user in optimizing an agricultural job that describes a forage harvesting process. Optimizing the forage harvesting process comprises at least the planning and/or execution of the forage harvesting process chain effecting the implementation of the agricultural job. The forage harvesting process chain comprises process steps and agricultural work machines which process the agricultural job in a specified sequence. The assistance system optimizes execution of the agricultural job according to specified strategies by selecting optimal values for work parameters and an optimized sequence of process steps.

Abstract: A method and system for providing a successful performance of an agricultural process by a customer operating an agricultural working machine. A digital service module, which is hosted on a server, comprises a success guarantee management system to improve or maximize the probability of a successful agricultural process. The occurrence of a technical problem of the agricultural machine may require technical service to be provided to the agricultural working machine. The success guarantee management system derives for each service event target performance criteria. The target performance criteria may be used as highly weighted optimization criteria within the optimization strategy in order to maximize the probability of a successful agricultural process by meeting the optimization criteria.

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 and system for providing technical service to an agricultural working machine. A digital service module of a server, configured to coordinate the technical service, may receive a request for service. The request for service may include at least one part and at least one service needed to fix the problem of the agricultural working machine. The digital service module is divided into a plurality of subsystems and follow a multi-target optimization strategy during planning and implementing the service events.

Abstract: A method and system for performing an agricultural process in line with an insurance policy. An agricultural working machine is operated by a customer. A digital service module, which may be hosted on a server, comprises an insurance policy management system to ensure to stay in line with the insurance policy at least partly while performing the agricultural process. The digital service module plans and implements the service events based on an optimization strategy, which may comprise a multi-target optimization strategy based on a number of weighted optimization criteria, which may be at least partly derived from insurance policy information.

Abstract: A system and method for planning technical service to at least one agricultural machine on at least one farm in a region. The system comprises a server, a database and a computational device. A module, executable by the computational device, for planning technical service to the at least one agricultural machine and a crop cultivation map for the region are stored in the database. Upon execution of the module by the computational device, the module is configured to generate a service network plan for the region to provide technical service to the at least one agricultural machine based on the crop cultivation map.

Abstract: A system and method for executing a work process using a planning system. A planning system comprises a user interface, a communication unit, a computing unit and a memory unit. The planning system is configured to generate a plan for executing an agricultural work process or at least one sub-process included in the work process and transmitting it to an autonomous agricultural work machine configured for the execution for controlling, regulating and/or parameterizing the autonomous work machine and at least one attachment configured to the work machine. The planning system is configured to retrieve and use data saved in at least one database in order to generate the plan for the operation of the autonomous work machine, which data are working-machine-specific, attachment-specific and field-specific parameters, and ambient and environmental parameters available at the time of the generation of the plan, and to output the plan via the user interface.

Abstract: A spare parts planning system and method for planning and coordinating spare parts for agricultural machines. The spare parts planning system may be configured to perform planning and coordination of spare parts for a service order, with the service order being derived from the definition of a customer problem. The spare parts planning system may additionally be configured to assemble the spare parts stock stored in the respective warehouse in such a way that the spare parts stock is adapted to the expected parts failure probability, with this adaptation comprising the storage of the spare parts and/or the procurement of the spare parts from central warehouses.

Abstract: A technician planning method and system for planning agricultural machine technicians to plan and coordinate repairs and/or maintenance of agricultural machine. The technician planning method and system includes a server, a database, and the communication device. The server receives a customer problem from a customer communication device regarding the repair and/or maintenance of the agricultural machine. The customer problem initiates a delivery of a spare part and a technical service, with information being stored in the database concerning the location and/or the delivery possibilities of the spare part. The technician planning system is configured to determine at least one deployment planning of the agricultural machine technicians for the service order with respect to the technical service. The service order is derived from a definition of the customer problem and one or more planning criteria stored in the database with respect to the agricultural machine technicians.

Abstract: A system and method for managing a stocking of a warehouse on a farm. The system comprises a server, a database, and a computational device. A module for managing the stocking of the warehouse with spare parts and information and/or criteria regarding the stocking of the warehouse are stored in the database. The module is executable by the computational device, with the server hosting the module for the computational device. Upon execution of the module by the computational device, the module is configured to automatically plan, coordinate, and supervise the stocking of the warehouse with spare parts based on the information and/or criteria stored in the database.

Abstract: A system and method for managing a warehouse on a farm. The system comprises a server, a database, and at least one user end device. A module for managing the warehouse and information and/or criteria for managing the warehouse is stored in the database. The module is executable by the at least one user end device and the server is hosting the module for the at least one user end device. Upon execution of the module by the at least one user end device, the module is configured to manage a stock of spare parts in the warehouse based on the information and/or criteria stored in the database.

Abstract: A planning portal for a farmer to planning and to initiate an agricultural operation of an autonomous agricultural work machine on an agricultural field. The planning portal is configured in such a way that, during planning, only the use is permitted of attachments which may have dimensions such that the attachments are arranged or positioned completely within the detectable surrounding area during the state in which the attachments are coupled to the autonomous agricultural work machine.

Abstract: A route planning system configured to create the route plan for an autonomous agricultural work machine and/or for a network of autonomous agricultural work machines. A given agricultural work machine may be operated in a semi-autonomous operating mode, in which a user is on board or resident in the agricultural work machine, or a fully autonomous operating mode, in which no user is assigned to the agricultural work machine. The generated route plan may be dynamically adapted depending on one or more events, with the dynamically adapted route plan being transmitted to the autonomous agricultural work machine. The user or an operator assigned to the given autonomous agricultural work machine may accept the adapted route plan for the given agricultural work machine.

Abstract: An assistance system for optimizing a forage harvesting process is disclosed. The assistance system supports a user in optimizing an agricultural job that describes a forage harvesting process. Optimizing the forage harvesting process comprises at least the planning and/or execution of the forage harvesting process chain effecting the implementation of the agricultural job. The forage harvesting process chain comprises process steps and agricultural work machines which process the agricultural job in a specified sequence. The assistance system optimizes execution of the agricultural job according to specified strategies by selecting optimal values for work parameters and an optimized sequence of process steps.

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: 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 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 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: 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.