Abstract: Embodiments of the present disclosure provide for the synchronous distribution real-time and historical farming data to user client devices via shared and personal interface rooms. In some embodiments, multiple users can be connected to a shared interface room corresponding to a data collection device to view real-time and historical farming data simultaneously. The shared interface room can then broadcast farming data to each user whenever real-time farming data is received. Historical farming data can be determined based on a pair of timestamps corresponding to data collection device activity and user activity. When one of the connected users requests to view historical farming data, the historical farming data can be provided to the requesting user via a personal interface room.

Abstract: Embodiments of the present disclosure provide for the synchronous distribution real-time and historical farming data to user client devices via shared and personal interface rooms. In some embodiments, multiple users can be connected to a shared interface room corresponding to a data collection device to view real-time and historical farming data simultaneously. The shared interface room can then broadcast farming data to each user whenever real-time farming data is received. Historical farming data can be determined based on a pair of timestamps corresponding to data collection device activity and user activity. When one of the connected users requests to view historical farming data, the historical farming data can be provided to the requesting user via a personal interface room.

Abstract: An automated employee selection system can use a variety of techniques to provide information for assisting in selection of employees. For example, pre-hire and post-hire information can be collected electronically and used to build an artificial-intelligence based model. The model can then be used to predict a desired job performance criterion (e.g., tenure, number of accidents, sales level, or the like) for new applicants. A wide variety of features can be supported, such as electronic reporting. Pre-hire information identified as ineffective can be removed from a collected pre-hire information. For example, ineffective questions can be identified and removed from a job application. New items can be added and their effectiveness tested. As a result, a system can exhibit adaptive learning and maintain or increase effectiveness even under changing conditions.

Abstract: An automated employee selection system can use a variety of techniques to provide information for assisting in selection of employees. For example, pre-hire and post-hire information can be collected electronically and used to build an artificial-intelligence based model. The model can then be used to predict a desired job performance criterion (e.g., tenure, number of accidents, sales level, or the like) for new applicants. A wide variety of features can be supported, such as electronic reporting. Pre-hire information identified as ineffective can be removed from a collected pre-hire information. For example, ineffective questions can be identified and removed from a job application. New items can be added and their effectiveness tested. As a result, a system can exhibit adaptive learning and maintain or increase effectiveness even under changing conditions.

Abstract: An automated employee selection system can use a variety of techniques to provide information for assisting in selection of employees. For example, pre-hire and post-hire information can be collected electronically and used to build an artificial-intelligence based model. The model can then be used to predict a desired job performance criterion (e.g., tenure, number of accidents, sales level, or the like) for new applicants. A wide variety of features can be supported, such as electronic reporting. Pre-hire information identified as ineffective can be removed from a collected pre-hire information. For example, ineffective questions can be identified and removed from a job application. New items can be added and their effectiveness tested. As a result, a system can exhibit adaptive learning and maintain or increase effectiveness even under changing conditions.