Abstract: Crop-harvesting plans automatically generated based on crop-harvesting information received from a variety of sources, such as a user, remote sensor, database, data feed and/or a social network. The crop-harvesting plans may dynamically aid farmers and other production agriculture professionals when determining a crop-harvesting plan and then implementing that crop-harvesting plan. Crop-harvesting plans may include a variety of recommended crop-harvesting practices, logistics, sequences and projected outcomes for the implementation of the recommended crop-harvesting plan.

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: 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 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: 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: A computer system and method of facilitating a sale which permits inventory information to be used in connection with a technology enabled selling (TES) system to facilitate a sale. The inventory information may be used during configuration of an item to be sold to a customer in a manner which allows the sales representative to more easily sell items from inventory if desired.

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 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: A computer system and method of facilitating a sale which permits inventory information to be used in connection with a technology enabled selling (TES) system to facilitate a sale. The inventory information may be used during configuration of an item to be sold to a customer in a manner which allows the sales representative to more easily sell items from inventory if desired.

Abstract: A computer system and method of facilitating a sale which permits inventory information to be used in connection with a technology enabled selling (TES) system to facilitate a sale. The inventory information may be used during configuration of an item to be sold to a customer in a manner which allows the sales representative to more easily sell items from inventory if desired.

Abstract: A computer system and method of facilitating a sale which permits inventory information to be used in connection with a technology enabled selling (TES) system to facilitate a sale. The inventory information may be used during configuration of an item to be sold to a customer in a manner which allows the sales representative to more easily sell items from inventory if desired.

Abstract: Crop-planting plans may be generated with crop-planting information received from a variety of sources, such as a user, remote sensor, database, and/or data feed. The crop-planting plans may dynamically aid farmers and other production agriculture professionals when determining a crop-planting strategy and implementing a crop-planting plan. Crop-planting plans may include a variety of recommended crop-planting practices and projected outcomes for the implementation of the recommended crop-planting practices.

Abstract: Crop-harvesting plans automatically generated based on crop-harvesting information received from a variety of sources, such as a user, remote sensor, database, data feed and/or a social network. The crop-harvesting plans may dynamically aid farmers and other production agriculture professionals when determining a crop-harvesting plan and then implementing that crop-harvesting plan. Crop-harvesting plans may include a variety of recommended crop-harvesting practices, logistics, sequences and projected outcomes for the implementation of the recommended crop-harvesting plan.

Abstract: A computer system and method of facilitating a sale which permits inventory information to be used in connection with a technology enabled selling (TES) system to facilitate a sale. The inventory information may be used during configuration of an item to be sold to a customer in a manner which allows the sales representative to more easily sell items from inventory if desired.

Abstract: A sales force automation system and method of facilitating a sales process which integrates computerized intelligent automated salesperson support for multiple phases of the sales process. Various subsystems may be provided to facilitate the sales process which may include pre-sales lead generation, maximize time spent with the customer, effectively manage an order, ensure customer satisfaction and retain the customer for future sales. Also provided to support the phases of the sales process are additional tools, integrated in the system. The additional tools may include self management subsystems, sales management subsystems and training subsystems.

Abstract: A computer system and method of facilitating a sale which permits inventory information to be used in connection with a technology enabled selling (TES) system to facilitate a sale. The inventory information may be used during configuration of an item to be sold to a customer in a manner which allows the sales representative to more easily sell items from inventory if desired.

Abstract: A computer system and method are used for managing product knowledge related to products offered for sale by a selling entity. The computer system includes a memory arrangement. At least one processing unit is coupled to the memory arrangement. A data model is defined that describes relationships between data categories. A data instance is input that corresponds to one or more of the data categories. The data instance represents at least part of the product knowledge. The computer system can also create a user-defined relationship item for the data instance and present the product knowledge to a user of the system in a manner established by the data model and the user-defined relationship. The product knowledge that is presented includes information that corresponds to the data instance.