Abstract: Methods and systems for crop management are disclosed. An example method can comprise receiving first information associated with an environmental management zone. The first information can relate to one or more of a land characteristic and a management practice. The first information can comprise a soil type of the environmental management zone. An example method can comprise, receiving historical weather data relating to the environmental management zone. An example method can comprise receiving real-time weather data relating to the environmental management zone. An example method can comprise executing a growth model to predict a nitrogen range for the environmental management zone based on one or more of the first information, the historical weather data, and the real-time weather data. The nitrogen range can comprise probabilities for one or more of a current time period and a future time period in the growing season.

Abstract: Methods and systems for crop management are disclosed. An example method can comprise receiving first information associated with an environmental management zone. The first information can relate to one or more of a land characteristic and a management practice. The first information can comprise a soil type of the environmental management zone. An example method can comprise, receiving historical weather data relating to the environmental management zone. An example method can comprise receiving real-time weather data relating to the environmental management zone. An example method can comprise executing a growth model to predict a nitrogen range for the environmental management zone based on one or more of the first information, the historical weather data, and the real-time weather data. The nitrogen range can comprise probabilities for one or more of a current time period and a future time period in the growing season.

Abstract: Methods and systems for crop management are disclosed. An example method can comprise receiving first information associated with an environmental management zone. The first information can relate to one or more of a land characteristic and a management practice. The first information can comprise a soil type of the environmental management zone. An example method can comprise, receiving historical weather data relating to the environmental management zone. An example method can comprise receiving real-time weather data relating to the environmental management zone. An example method can comprise executing a growth model to predict a nitrogen range for the environmental management zone based on one or more of the first information, the historical weather data, and the real-time weather data. The nitrogen range can comprise probabilities for one or more of a current time period and a future time period in the growing season.

Abstract: Methods and systems for crop management are disclosed. An example method can comprise receiving first information associated with an environmental management zone. The first information can relate to one or more of a land characteristic and a management practice. The first information can comprise a soil type of the environmental management zone. An example method can comprise, receiving historical weather data relating to the environmental management zone. An example method can comprise receiving real-time weather data relating to the environmental management zone. An example method can comprise executing a growth model to predict a nitrogen range for the environmental management zone based on one or more of the first information, the historical weather data, and the real-time weather data. The nitrogen range can comprise probabilities for one or more of a current time period and a future time period in the growing season.

Abstract: Managing risks of crop production can be performed by understanding the relative performance of different agricultural inputs under the same or similar environmental conditions. In addition, managing of crop production risks can be performed by understanding variations in the performance of the same agricultural inputs over a range of environmental conditions. By being able to describe and understand these variations in performance, decisions can be made which are consistent with overall business and/or production objectives and limit risk associated with variations in environmental conditions. In addition to producers there are other stakeholders in the crop production process, such as financial institutions, insurance providers, users of crops produced, and input suppliers. These and other stakeholders can provide financial incentives to producers for managing crop production risks through use of environmental classification and/or genotype-by-environment information.

Abstract: Managing risks of crop production can be performed by understanding the relative performance of different agricultural inputs under the same or similar environmental conditions. In addition, managing of crop production risks can be performed by understanding variations in the performance of the same agricultural inputs over a range of environmental conditions. By being able to describe and understand these variations in performance, decisions can be made which are consistent with overall business and/or production objectives and limit risk associated with variations in environmental conditions. In addition to producers there are other stakeholders in the crop production process, such as financial institutions, insurance providers, users of crops produced, and input suppliers. These and other stakeholders can provide financial incentives to producers for managing crop production risks through use of environmental classification and/or genotype-by-environment information.

Abstract: Managing risks of crop production can be performed by understanding the relative performance of different agricultural inputs under the same or similar environmental conditions. In addition, managing of crop production risks can be performed by understanding variations in the performance of the same agricultural inputs over a range of environmental conditions. By being able to describe and understand these variations in performance, decisions can be made which are consistent with overall business and/or production objectives and limit risk associated with variations in environmental conditions. In addition to producers there are other stakeholders in the crop production process, such as financial institutions, insurance providers, users of crops produced, and input suppliers. These and other stakeholders can provide financial incentives to producers for managing crop production risks through use of environmental classification and/or genotype-by-environment information.

Abstract: Managing risks of crop production can be performed by understanding the relative performance of different agricultural inputs under the same or similar environmental conditions. In addition, managing of crop production risks can be performed by understanding variations in the performance of the same agricultural inputs over a range of environmental conditions. By being able to describe and understand these variations in performance, decisions can be made which are consistent with overall business and/or production objectives and limit risk associated with variations in environmental conditions. In addition to producers there are other stakeholders in the crop production process, such as financial institutions, insurance providers, users of crops produced, and input suppliers. These and other stakeholders can provide financial incentives to producers for managing crop production risks through use of environmental classification and/or genotype-by-environment information.

Abstract: Methods and software for selecting seed products or other agricultural inputs for planting within an associated land base include classifying the land base with an environmental classification, determining at least one seed product to plant within the land base based on the environmental classification, and providing an output comprising identification of the at least one seed product to plant within the land base.

Abstract: A system for obtaining crop data from crop growers and using the crop data to assist in providing crop genetic improvements is provided. The system receives, from a producer or crop grower, geo-referenced crop data that indicates a yield of a crop at a production location and a particular hybrid or variation of the crop at the production location. The genetic element data is associated with the geo-referenced crop data. Performance data is then determined which indicates the performance of a genetic element of a crop, based on the association of the genetic element data with the geo-referenced crop data.

Abstract: Managing risks of crop production can be performed by understanding the relative performance of different agricultural inputs under the same or similar environmental conditions. In addition, managing of crop production risks can be performed by understanding variations in the performance of the same agricultural inputs over a range of environmental conditions. By being able to describe and understand these variations in performance, decisions can be made which are consistent with overall business and/or production objectives and limit risk associated with variations in environmental conditions. In addition to producers there are other stakeholders in the crop production process, such as financial institutions, insurance providers, users of crops produced, and input suppliers. These and other stakeholders can provide financial incentives to producers for managing crop production risks through use of environmental classification and/or genotype-by-environment information.

Abstract: Managing risks of crop production can be performed by understanding the relative performance of different agricultural inputs under the same or similar environmental conditions. In addition, managing of crop production risks can be performed by understanding variations in the performance of the same agricultural inputs over a range of environmental conditions. By being able to describe and understand these variations in performance, decisions can be made which are consistent with overall business and/or production objectives and limit risk associated with variations in environmental conditions. In addition to producers there are other stakeholders in the crop production process, such as financial institutions, insurance providers, users of crops produced, and input suppliers. These and other stakeholders can provide financial incentives to producers for managing crop production risks through use of environmental classification and/or genotype-by-environment information.

Abstract: Managing risks of crop production can be performed by understanding the relative performance of different agricultural inputs under the same or similar environmental conditions. In addition, managing of crop production risks can be performed by understanding variations in the performance of the same agricultural inputs over a range of environmental conditions. By being able to describe and understand these variations in performance, decisions can be made which are consistent with overall business and/or production objectives and limit risk associated with variations in environmental conditions. In addition to producers there are other stakeholders in the crop production process, such as financial institutions, insurance providers, users of crops produced, and input suppliers. These and other stakeholders can provide financial incentives to producers for managing crop production risks through use of environmental classification and/or genotype-by-environment information.