Method and system automatically to certify an agricultural product
First Claim
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1. A method comprising:
- receiving, by a processor, first data associated with an impact on groundwater pollution and surface water pollution, the impact on the groundwater pollution and the surface water pollution resulting from a production of an agricultural product within a predetermined time period, the first data being received from a single agricultural production system;
receiving, by the processor, second data associated with the impact on the groundwater pollution and surface water pollution, the impact on the groundwater pollution and surface water pollution resulting from the production of the agricultural product within the predetermined time period, the second data being received from a plurality of agricultural production systems;
calculating, by the processor, descriptive and inferential statistic on the second data;
generating, by the processor, a benchmark result based on the second data and for comparing the first data against the second data benchmark; and
displaying, by the processor, in real-time the benchmark result and the descriptive and inferential statistic˜
and wherein the single agricultural production system includes one or more of a production unit, a production practice or a biological process.
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Abstract
A method automatically to certify an agricultural product includes receiving agricultural product data, writing to an agricultural product, at a management information system. The agricultural product data may reflect any one of multiple conditions (e.g., production conditions, processing conditions, packaging conditions and transport conditions) relating to the agricultural product. The agricultural product data is automatically contained against compliance requirements stored by the management information system. A compliance result is then automatically generated based on the comparison of the agricultural product data against the compliance requirements.
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Citations
11 Claims
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1. A method comprising:
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receiving, by a processor, first data associated with an impact on groundwater pollution and surface water pollution, the impact on the groundwater pollution and the surface water pollution resulting from a production of an agricultural product within a predetermined time period, the first data being received from a single agricultural production system; receiving, by the processor, second data associated with the impact on the groundwater pollution and surface water pollution, the impact on the groundwater pollution and surface water pollution resulting from the production of the agricultural product within the predetermined time period, the second data being received from a plurality of agricultural production systems; calculating, by the processor, descriptive and inferential statistic on the second data; generating, by the processor, a benchmark result based on the second data and for comparing the first data against the second data benchmark; and displaying, by the processor, in real-time the benchmark result and the descriptive and inferential statistic˜
and wherein the single agricultural production system includes one or more of a production unit, a production practice or a biological process. - View Dependent Claims (2)
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3. A method comprising:
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receiving, by a processor, first data associated with an impact on groundwater pollution and surface water pollution, the impact on the groundwater pollution and the surface water pollution resulting from a production of an agricultural product within a predetermined time period, the groundwater pollution and the surface water pollution comprising a contaminant of at least one of an inorganic or organic pollutant, the first data being received from a single agricultural production system; receiving, by the processor, second data associated with the impact on the groundwater pollution and the surface water pollution, the impact on the groundwater pollution and the surface water pollution resulting from the production of the agricultural product within the predetermined time period, the second data being received from a plurality of agricultural production systems of a single watershed; calculating, by the processor, descriptive and inferential statistic on the second data, the descriptive and inferential statistic comprising a statistically derived confidence interval; generating, by the processor, a benchmark result based on the second data and for comparing of the first data associated with the impact on the groundwater pollution and the surface water pollution against the second data benchmark associated with the impact on the groundwater pollution and the surface water pollution; and displaying, by the processor, in real-time the benchmark result and the descriptive and inferential statistic in a graphical user interface, and wherein the single agricultural production system includes one or more of a production unit, a production practice or a biological process. - View Dependent Claims (4, 5, 6, 7, 8, 9, 10, 11)
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Specification