View source for 18290539. COMPUTER-IMPLEMENTED METHOD FOR APPLYING A GLUTAMINE SYNTHETASE INHIBITOR ON AN AGRICULTURAL FIELD simplified abstract (BASF SE)

=COMPUTER-IMPLEMENTED METHOD FOR APPLYING A GLUTAMINE SYNTHETASE INHIBITOR ON AN AGRICULTURAL FIELD=


==Organization Name==

[[:Category:BASF SE|BASF SE]]


[[Category:BASF SE]]

==Inventor(s)==

[[:Category:Anna Soyk of Neustadt (DE)|Anna Soyk of Neustadt (DE)]][[Category:Anna Soyk of Neustadt (DE)]]

[[:Category:Elke Breitinger of Limburgerhof (DE)|Elke Breitinger of Limburgerhof (DE)]][[Category:Elke Breitinger of Limburgerhof (DE)]]

[[:Category:Anja Simon of Limburgerhof (DE)|Anja Simon of Limburgerhof (DE)]][[Category:Anja Simon of Limburgerhof (DE)]]

==COMPUTER-IMPLEMENTED METHOD FOR APPLYING A GLUTAMINE SYNTHETASE INHIBITOR ON AN AGRICULTURAL FIELD - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18290539 titled 'COMPUTER-IMPLEMENTED METHOD FOR APPLYING A GLUTAMINE SYNTHETASE INHIBITOR ON AN AGRICULTURAL FIELD

The computer-implemented method described in the abstract involves providing application data for an agricultural field by utilizing an application rate model for a plant, specifically focusing on the relationship between nitrogen content and the application rate of a glutamine synthetase inhibitor.

* The application rate model is used to determine the application rate of the glutamine synthetase inhibitor based on nitrogen content data obtained from the agricultural field.
* This method allows for precise and efficient application of the inhibitor, optimizing its effectiveness in enhancing plant growth and health.
* By tailoring the application rate to the specific nitrogen content of different sections of the field, the method ensures targeted and customized treatment.
* The technology aims to improve agricultural practices by providing a data-driven approach to application rate determination, ultimately leading to better crop yields and sustainability.

Potential Applications:
- Precision agriculture
- Crop management systems
- Agricultural technology development

Problems Solved:
- Inefficient use of agricultural chemicals
- Lack of precision in application rates
- Inconsistent crop growth due to improper treatment

Benefits:
- Increased crop yields
- Reduced environmental impact
- Cost-effective agricultural practices

Commercial Applications:
Title: Precision Agricultural Technology for Optimal Crop Growth
This technology can be utilized by agricultural companies, farmers, and researchers to enhance crop productivity and sustainability. The market implications include improved efficiency in crop management and reduced resource wastage.

Prior Art:
Researchers and practitioners in the field of precision agriculture, agricultural technology, and crop management may have explored similar methods for optimizing application rates based on plant characteristics and field data.

Frequently Updated Research:
Ongoing research in precision agriculture, plant nutrition, and crop management may provide further insights into the optimization of application rates for agricultural chemicals.

Questions about Agricultural Field Application Data:
1. How does this technology contribute to sustainable agriculture practices?
- This technology helps optimize the use of agricultural chemicals, reducing waste and environmental impact, thus promoting sustainability in agriculture.
2. What are the potential cost savings for farmers using this method?
- By accurately determining application rates based on plant and field data, farmers can avoid overuse of chemicals and save on input costs.


==Original Abstract Submitted==

Computer-implemented method for providing application data for an agricultural field, comprising the following steps: providing an application rate model for a plant, wherein the application rate model is configured to describe a relationship between a nitrogen content and an application rate of a glutamine synthetase inhibitor (S): obtaining nitrogen content data of at least a section of the agricultural field (S); providing the nitrogen content data of the at least one section of the agricultural field to the application rate model (S); determining the application rate of the glutamine synthetase inhibitor of the at least one section of the agricultural field using the application rate model (S); providing the application rate of the glutamine synthetase inhibitor for the at least one section of the agricultural field (S).



[[Category:G05B15/02]]
[[Category:CPC_G05B15/02]]