METHODS, APPARATUS AND SYSTEMS FOR GENERATING, UPDATING AND EXECUTING A CROP-HARVESTING PLAN

• US 20160026940A1
• Filed: 10/01/2015
• Published: 01/28/2016
• Est. Priority Date: 12/30/2011
• Status: Abandoned Application

• Current Assignee: Aglytix Inc.
• Original Assignee: Aglytix Inc.
• Inventors: Johnson, Jerome Dale
• Application Number:
  US14/872,598
• Publication Number:
  US 20160026940A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A01B 79/005 Precision agriculture
• CPC Class Codes: A01D 91/00 Methods for harvesting agricultural products
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 50/02 Agriculture; Fishing; Forestry; Mining

Abstract

Crop-harvesting plans automatically generated based on crop-harvesting information received from a variety of sources, such as a user, remote sensor, database, data feed and/or a social network. The crop-harvesting plans may dynamically aid farmers and other production agriculture professionals when determining a crop-harvesting plan and then implementing that crop-harvesting plan. Crop-harvesting plans may include a variety of recommended crop-harvesting practices, logistics, sequences and projected outcomes for the implementation of the recommended crop-harvesting plan.

Claims

1. A method comprising:

receiving, by a crop-harvesting plan generator that includes a memory and a processor, crop information regarding harvesting crops from at least one of a user, a manager, a database, and a data feed;

receiving, by the crop-harvesting plan generator, image data from a remote sensor;

determining crop moisture levels using the image data;

determining, by the crop-harvesting plan generator, a crop maturity level using the crop moisture levels;

determining, by the crop-harvesting plan generator, plan scores using the crop information and crop moisture levels;

automatically generating, by the crop-harvesting plan generator, one or more crop-harvesting plans for harvesting crops in one or more fields using the plan scores; and

automatically providing, by the crop-harvesting plan generator, the crop-harvesting plan to the user via the communication network.

2. The method of claim 1, further comprising:

receiving, by the crop-harvesting plan generator, additional information regarding the crop-harvesting plan from at least one of the user, the database, the data feed, and the remote sensor;

automatically updating, by the one or more scoring matrices of the crop-harvesting plan generator, the crop-harvesting plan based upon the received additional information; and

providing, by the crop-harvesting plan generator, the updated crop-harvesting plan to the user via the communication network.

3. The method of claim 1, wherein the received information regards a crop-harvesting outcome, the method comprising:

determining, by the crop-harvesting plan generator, a best practice for the harvesting of a crop based on the crop-harvesting outcome; and

automatically updating, by the crop-harvesting plan generator, the crop-harvesting plan responsively to the determined best practice.

4. The method of claim 1, wherein the received information includes information regarding at least one of a planned event, an unplanned event, a contractual requirement, a crop requirement, a harvesting requirement, local knowledge, operational profitability, resource availability, remotely sensed information, information received via a resource, and information received via a computer-implemented social network.

5. The method of claim 4, wherein the received information includes at least one of climate data, historical weather data, current weather data, and predicted weather data, the method further comprising:

automatically updating, by the crop-harvesting plan generator, the crop-harvesting plan as climate data, historical weather data, current weather data, and predicted weather data is received.

6. The method of claim 5, wherein the received information includes remotely sensed data relating to the crops positioned at various locations, the method further comprising:

automatically determining, by the crop-harvesting plan generator, a condition of the crop positioned at the various locations based upon an analysis of the remotely sensed data;

automatically determining, by the crop-harvesting plan generator, a sequence of crop-harvesting locations based on the determined condition of the crops located thereon; and

automatically incorporating, by the crop-harvesting plan generator, the sequence of crop-harvesting locations into the crop-harvesting plan.

7. The method of claim 6, wherein the received information includes remotely sensed data obtained by unmanned aircraft systems relating to the fields positioned at various locations, the method further comprising:

automatically determining, by the crop-harvesting plan generator, a condition of the fields positioned at the various locations based upon an analysis of the remotely sensed data;

automatically determining, by the crop-harvesting plan generator, a sequence of crop-harvesting locations based on the determined condition of the fields located thereon; and

automatically incorporating, by the crop-harvesting plan generator, the sequence of crop-harvesting locations into the crop-harvesting plan.

8. The method of claim 6 wherein the received information includes data obtained from a piece of equipment utilized to execute a portion of the crop-harvesting plan and the crop harvesting plan is automatically updated by the crop-harvesting plan generator.

9. The method of claim 1, further comprising:

identifying, by the crop-harvesting plan generator, an attribute of the received information;

incorporating, by the crop-harvesting plan generator the received information into the identified attribute; and

selecting and providing to the user a plurality of crop-harvesting plans that include multiple attributes.

10. The method of claim 9, wherein the multiple attributes include land available to execute the crop-harvesting plan, resources available to execute the crop-harvesting plan, type of crop to be harvested, local knowledge regarding crop-harvesting, planned events, unplanned events, remotely sensed crop and/or field condition, visually sensed crop and/or field condition, and weather data.

11. the method of claim 1, further comprising;

determining, by the crop-harvesting plan generator, an impact of utilizing a resource to execute a portion of the crop-harvesting plan;

automatically providing a recommendation based upon the determined impact of the utilization to the user by the crop-harvesting plan generator;

determining, by the crop-harvesting plan generator, a potential impact resulting from adding, removing, or altering the utilization of a resource to execute a portion of the crop-harvesting plan; and

automatically providing an analysis based upon the determined potential impact of the change of the utilization of the resource to the user by the crop-harvesting plan generator.

12. The method of claim 1, further comprising:

automatically evaluating, by the crop-harvesting plan generator, the one or more crop-harvesting plans according to one or more criterion;

calculating an evaluation score for each crop-harvesting plan according to the evaluation, wherein the crop-harvesting plans are ranked according to their evaluation score; and

automatically selecting, by the crop-harvesting plan generator, a selected crop-harvesting plan based upon the evaluation.

13. The method of claim 1, wherein determining, by the crop-harvesting plan generator, the plan scores using the crop information and the crop moisture levels comprises determining, by the crop-harvesting plan generator using at least one scoring matrix implemented in the memory, the plan scores.

14. The method of claim 13, further comprising:

receiving, by the crop-harvesting plan generator, additional information regarding at least one of supplier and buyer data for at least one of availability, new orders, modified orders, instructions, delivery, and schedules to execute the crop-harvesting plan;

incorporating, by the crop-harvesting plan generator, the supplier and/or buyer data into the crop-harvesting plan; and

updating, by the crop-harvesting plan generator, the crop-harvesting plan as new supplier and/or buyer data is received.

15. The method of claim 14, wherein a portion of the crop-harvesting plan is provided to at least one of a supplier and buyer executing a portion of the crop-harvesting plan via the communication network.

16. The method of claim 1, further comprising:

monitoring, by the crop-harvesting plan generator, execution of the crop-harvesting plan;

determining, by the crop-harvesting plan generator, a status for one or more resources utilized to execute the crop-harvesting plan or an activity included in the crop-harvesting plan;

providing, by the crop-harvesting plan generator, an alert to the user responsively to the determined status;

generating, by the crop-harvesting plan generator, a set of instructions for execution of a portion of the crop-harvesting plan; and

providing, by the crop-harvesting plan generator, the set of instructions to at least one of the user, the manager, the database, the data feed, the remote sensor, and a piece of equipment utilized to execute the portion of the crop-harvesting plan.

17. The method of claim 16, further comprising

personalizing the set of instructions for at least one of the user, the manager, the database, the data feed, the remote sensor, and the piece of equipment utilized to execute the portion of the crop-harvesting plan;

and

providing a portion of the crop-harvesting plan to a person or resource executing a portion of the crop-harvesting plan, including a manager, an employee, a supplier, and a buyer via the communication network.

18. A system comprising:

a crop-harvesting plan generator that includes a memory and a processor;

a data input configured to receive crop moisture levels from at least one of a remote sensor and an unmanned aircraft system, wherein the crop moisture levels are determined using image data obtained by the at least one of the remote sensor and the unmanned aircraft system, and wherein the crop-harvesting plan generator is configured to determine a crop maturity status using the crop moisture levels;

one or more scoring matrices implemented on the memory, wherein the crop-harvesting plan generator is configured to automatically generate, utilizing the one or more scoring matrices, one or more crop-harvesting plans for harvesting a crop in a field using at least the crop maturity status; and

a data output configured to provide the one or more crop-harvesting plans to a user interface via a communication network, wherein the user interface is configured to output the one or more crop-harvesting plans to the user.

19. The system of claim 18, wherein a database implemented on the memory stores crop information received from at least one of a user, a manager, a data feed, the database, and social network, and wherein the database stores the crop-harvesting plan and wherein the crop information includes field data, resource data, crop data, logistical data, climate data, supplier data, buyer data, and insurance data.

20. A tangible, non-transitory computer-readable media including a set of instructions stored thereon which when executed by a computer enable the computer to receive information regarding crop-harvesting from at least one of a user, a manager, a database, and a data feed, and crop moisture levels from a remote sensor via a communication network, generate a crop maturity status using the crop moisture levels, generate a plurality of crop-harvesting plans for harvesting seeds using the received information and the crop maturity status, evaluate the plurality of crop-harvesting plans according to one or more criterion, calculate a score for each crop-harvesting plan according to the evaluation, wherein the crop-harvesting plans are ranked according to their score as compared to a benchmark, select a crop-harvesting plan responsively to the evaluation, and provide the crop-harvesting plan to the user via the communication network, wherein the crop moisture levels are determined using image data obtained by the remote sensor.