Abstract: A crop's status may be determined from analysis of information regarding the crop received from, for example, a user, an in-season data gathering source, a database, a data feed, an aerial sensor, a UAV, and/or a remote sensor via a communication network. The received data may be compared to, for example, a benchmark, a parameter, a previously determined crop status, and/or a baseline associated with the crop and the comparison may be scored. When the score exceeds a predetermined threshold, an alert may be generated and provided to a user via the communication network.

Abstract: Invasive species control plans may be automatically generated using vegetation control information received from a variety of sources. Such invasive species control plans may aid vegetation control personnel and professionals when determining an invasive species control strategy, including treatment and restoration, and then guide the implementation of that strategy. Invasive species control plans may include a variety of recommended vegetation control practices and projected outcomes for the implementation of recommended vegetation control management practices.

Abstract: In one example, a method includes receiving, by a parcel value analyzer and score generator (PVASG) executing on a computing device, data for a region of interest that includes a parcel of land. The data for the region of interest includes at least one of parcel data and logistics data. The method further includes determining, by the PVASG and based on the received data for the region of interest, a land value for the parcel of land included in the region of interest. The method further includes outputting, by the PVASG and in response to determining the land value for the parcel of land included in the region of interest, at least one report that includes an indication of the determined land value for the parcel of land.

Abstract: In one example, a method includes receiving, by a crop loss determination generator (CLDG) executing on a computing device, data for a region of interest that includes growing crops. The data for the region of interest includes at least one of field data, crop data, and geographic data. The method further includes determining, by the CLDG and based on the received data for the region of interest, that a crop loss status of the growing crops within the region of interest reflects nonconformance with acceptable crop loss criteria. The crop loss status includes an indication of at least one of an extent and a scope of crop loss of the growing crops within the region of interest. The method further includes outputting, by the CLDG and in response to determining that the crop loss status reflects nonconformance with the acceptable crop loss criteria, at least one alert.

Abstract: Vegetation control plans may be automatically generated using vegetation control information received from a variety of sources. Such vegetation control plans may aid farmers, other vegetation control personnel, and professionals when determining a vegetation control strategy, including treatment, and then guide the implementation of that strategy. Vegetation control plans may include a variety of recommended vegetation control practices and projected outcomes for the implementation of recommended vegetation control management practices.

Abstract: Vegetation control plans may be automatically generated using vegetation control information received from a variety of sources. Such vegetation control plans may aid farmers, other vegetation control personnel, and professionals when determining a vegetation control strategy, including treatment, and then guide the implementation of that strategy. Vegetation control plans may include a variety of recommended vegetation control practices and projected outcomes for the implementation of recommended vegetation control management practices.

Abstract: A computer-based system for combining data related to stand population, consistency and quality in agricultural crops and dynamically analyzing the data whereby stand determinations based on that analysis during a crop growing season can be made. The system is programmed to alert a user (farmer) or other designated parties when the stand fails to meet user-defined parameters.

Abstract: A method of modeling and simulation of complex relationships among entities is disclosed. The method can utilize a model that can graphically illustrate relationships among multiple hierarchical levels of entities, and can graphically illustrate information such as types of entities and areas operated by the entities. Further, the model can be based upon a relational database, and proposed or expected changes to the model can be simulated by changing the information in the relational database. An operation model can include a decision maker level, a business entity level, an entity owner level, and an operation level. These levels can be linked hierarchically, and family relationships can be graphically indicated based upon intestate succession priorities.

Abstract: A thin-client based process execution system for use on the internet is described. The process execution system organizes content in a process and defines that content for the process by a series of parameters such as role in the organization, knowledge, and how the user works.