Abstract: Systems, methods, and computer program products for predicting and scheduling subtasks for performance by an energy-consuming entity are disclosed. A method may comprise reading energy information; reading weather information; reading entity information; providing the energy information, the weather information, and the entity information as input to a first machine learning model; reading a predicted set of one or more tasks generated by the first machine learning model; identifying a set of one or more subtasks of the set of one or more tasks; providing the energy information and the weather information as input to at least a second machine learning model; reading predicted electrical grid carbon and water intensities generated by the at least second machine learning model; and determining a schedule for completion of the set of one or more subtasks based on the predicted electrical grid carbon and water intensities.

Abstract: A method, computer system, and a computer program product for improving environmental impact estimations is provided. The present invention may include obtaining data pertaining to an agricultural area. The present invention may include deriving one or more features from the data pertaining to the agricultural area. The present invention may include identifying one or more stubble burning areas within the agricultural areas based on the one or more derived features. The present invention may include determining an environmental impact for each of the one or more stubble burning areas.

Abstract: Methods, systems, and computer program products for generating context-aware process-based model determinations for greenhouse gas emissions from agricultural fields are provided herein.

Abstract: Methods, systems, and computer program products for enhancing spatial and temporal resolution of greenhouse gas emission estimates for agricultural fields using cohort analysis techniques are provided herein.

Abstract: A method, computer system, and a computer program product for improving environmental impact estimations is provided. The present invention may include obtaining data pertaining to an agricultural area. The present invention may include deriving one or more features from the data pertaining to the agricultural area. The present invention may include identifying one or more stubble burning areas within the agricultural areas based on the one or more derived features. The present invention may include determining an environmental impact for each of the one or more stubble burning areas.

Abstract: Methods, systems, and computer program products for dynamically enhancing supply chain strategies based on carbon emission targets are provided herein.

Abstract: Methods, systems, and computer program products for generating GHG emissions estimations associated with logistics contexts using machine learning techniques are provided herein.

Abstract: Methods, systems, and computer program products for enhancing spatial and temporal resolution of greenhouse gas emission estimates for agricultural fields using cohort analysis techniques are provided herein.

Abstract: Methods, systems, and computer program products for generating context-aware process-based model determinations for greenhouse gas emissions from agricultural fields are provided herein.