Evaluating commodity conditions using aerial image data

Abstract

Various tools, strategies and techniques are provided for evaluating the condition of one or more commodities in one or more regions of interest. Collection of image data associated with the commodities can be facilitated through use of an aircraft traveling a predetermined travel route over the regions of interest. The collected image data may be analyzed to evaluate the condition of the commodities, forecast commodity production, and/or to perform other tasks.

What is claimed is: 
     
       1. A method for evaluating the condition of an agricultural commodity and forecasting the production thereof in a geographical region of interest, the method comprising:
 identifying one or more geographical regions of interest, wherein the geographical region of interest comprises a plurality of different locations that historically have been sites for production of the agricultural commodity; 
 obtaining an aircraft equipped with an image data acquisition system capable of collecting data; 
 tasking an aircraft to fly along a travel route that is developed so that the aircraft travels across the regions of interest wherein the travel route is based on the consideration of historical data regarding production of a specified crop in one or more of the regions of interest; 
 tasking the aircraft to fly along the travel route over the plurality of different locations and having the aircraft collect a plurality of sequential image data over the plurality of different locations crossed over by the travel route; 
 using an image processing device to analyze the collected image data to determine at least one of a type and a condition of one or more commodities in the geographical region of interest; and 
 forecasting the production of the agricultural commodity in the geographical region of interest based on the determined type and condition; 
 wherein developing the travel route further comprises using an optimization algorithm to access a cost of tasking the aircraft to travel across the travel route versus the cost of collecting the image data; 
 wherein developing the travel route further comprises considering weather data for at least a portion of one or more of the regions of interest while the aircraft travels along its travel route. 
 
     
     
       2. The method of  claim 1 , wherein developing the travel route further comprises consideration of one or more criteria that are predictive of the growth of at least one crop in the regions of interest. 
     
     
       3. The method of  claim 1 , wherein developing the travel route further comprises using an optimization algorithm to assess a cost of tasking the aircraft to travel across the travel route versus the cost of collecting the image data. 
     
     
       4. The method of  claim 1 , wherein developing the travel route further comprises considering historical data indicative of variability of crop types in one or more of the regions of interest. 
     
     
       5. The method of  claim 1 , wherein developing the travel route further comprises considering data indicative of a variable production rate of a specified crop in one or more of the regions of interest. 
     
     
       6. The method of  claim 1 , wherein developing the travel route further comprises considering weather data for at least a portion of one or more of the regions of interest. 
     
     
       7. The method of  claim 1 , wherein developing the travel route further comprises emphasizing regions of importance in terms of production and deemphasizing regions with comparatively lower production numbers. 
     
     
       8. The method of  claim 1 , wherein developing the travel route further comprises emphasizing regions that are highly variable in amount of production in comparison to other regions more consistent in the amount of production. 
     
     
       9. The method of  claim 1 , wherein developing the travel route further comprises emphasizing regions that shift from growth of one type of crop to growth of another type of crop over a predetermined time period and deemphasizing regions that are comparatively more consistent with respect to the type of crop produced. 
     
     
       10. The method of  claim 1 , further comprising using satellite imagery for identifying the regions of interest. 
     
     
       11. The method of  claim 1 , further comprising using satellite imagery for developing the travel route. 
     
     
       12. The method of  claim 1 , wherein the collected image data comprise image data selected from the group consisting of photographic images, hyperspectral images, and infrared images. 
     
     
       13. The method of  claim 1 , further comprising calculating an image collection frequency for collecting the plurality of sequential image data during travel over the route. 
     
     
       14. The method of  claim 1 , further comprising collecting the image data based on a factor selected from the group consisting of speed of the aircraft, desired resolution of the image data, altitude of the aircraft, type of photographic equipment employed to collect the image data, and data storage capacity of one or more data storage media for storing the collected image data. 
     
     
       15. The method of  claim 1 , further comprising providing the forecasted commodity production information to a customer selected from the group consisting of crop producer, crop seller, crop buyer, crop broker, crop distributor, elevator operator, commodities broker, futures buyer, futures seller, and futures broker. 
     
     
       16. The method of  claim 1 , further comprising setting a futures price for a specified crop or commodity based at least in part on the forecasted commodity production information. 
     
     
       17. A method for evaluating the condition of an agricultural commodity, the method comprising:
 identifying one or more geographical regions of interest, wherein the geographical region of interest comprises a plurality of different locations that historically have been sites for production of the agricultural commodity;   obtaining an aircraft equipped with an image data acquisition system capable of collecting data;   tasking an aircraft to fly along a travel route that is developed so that the aircraft travels across the regions of interest wherein developing the travel route comprises considering data indicative of a variable production rate of a specified crop in one or more of the regions of interest;   tasking the aircraft to fly along the travel route over the plurality of different locations and having the aircraft collect a plurality of sequential image data over the plurality of different locations crossed over by the travel route;   using an image processing device to analyze the collected image data to determine at least one of a type and a condition of one or more commodities in the geographical region of interest; and   forecasting the production of the agricultural commodity in the geographical region of interest based on the at least one of the determined type and condition;   further comprising collecting the image data, while the aircraft travels along its travel route, based on a factor selected from the group consisting of speed of the aircraft, desired resolution of the image data, altitude of the aircraft, type of photographic equipment employed to collect the image data, and data storage capacity of one or more data storage media for storing the collected image data.   
     
     
       18. The method of claim 17, wherein developing the travel route further comprises consideration of one or more criteria that are predictive of the growth of at least one crop in the regions of interest. 
     
     
       19. The method of claim 17, wherein developing the travel route further comprises using an optimization algorithm to assess a cost of tasking the aircraft to travel across the travel route versus the cost of collecting the image data. 
     
     
       20. The method of claim 17, wherein developing the travel route further comprises considering historical data indicative of variability of crop types in one or more of the regions of interest. 
     
     
       21. The method of claim 17, wherein developing the travel route further comprises considering weather data for at least a portion of one or more of the regions of interest. 
     
     
       22. The method of claim 17, wherein developing the travel route further comprises emphasizing regions of importance in terms of production and deemphasizing regions with comparatively lower production numbers. 
     
     
       23. The method of claim 17, wherein developing the travel route further comprises emphasizing regions that are highly variable in amount of production in comparison to other regions more consistent in the amount of production. 
     
     
       24. The method of claim 17, wherein developing the travel route further comprises emphasizing regions that shift from growth of one type of crop to growth of another type of crop over a predetermined time period and deemphasizing regions that are comparatively more consistent with respect to the type of crop produced. 
     
     
       25. The method of claim 17, further comprising using satellite imagery for identifying the regions of interest. 
     
     
       26. The method of claim 17, further comprising using satellite imagery for developing the travel route. 
     
     
       27. The method of claim 17, wherein the collected image data comprise image data selected from the group consisting of photographic images, hyperspectral images, and infrared images. 
     
     
       28. The method of claim 17, further comprising calculating an image collection frequency for collecting the plurality of sequential image data during travel over the route. 
     
     
       29. The method of claim 17, further comprising providing the forecasted commodity production information to a customer selected from the group consisting of crop producer, crop seller, crop buyer, crop broker, crop distributor, elevator operator, commodities broker, futures buyer, futures seller, and futures broker. 
     
     
       30. The method of claim 17, further comprising setting a futures price for a specified crop or commodity based at least in part on the forecasted commodity production information. 
     
     
       31. A method for evaluating the destruction of an agricultural commodity, the method comprising:
 identifying one or more geographical regions of interest that historically have been a site for production of the agricultural commodity;   obtaining a drone equipped with an image data acquisition system capable of collecting data;   tasking the drone to fly along a travel route that is developed so that the drone travels across the one or more geographical regions of interest;   tasking the drone to fly along the travel route over the one or more geographical regions of interest and having the drone collect a plurality of sequential image data over the one or more geographical regions of interest crossed over by the drone;   using an image processing device to analyze the collected image data to determine at least one of a type and a destruction of one or more commodities in the one or more geographical regions of interest; and   forecasting the destruction of the agricultural commodity in the one or more geographical regions of interest based on the at least one of the determined type and destruction;   wherein developing the travel route further comprises using an optimization algorithm to assess a cost of tasking the drone to travel across the travel route versus the cost of collecting the image data;   further comprising calculating an image collection frequency for collecting the plurality of sequential image data during travel of the drone over its travel route.   
     
     
       32. The method of claim 31, wherein developing the travel route further comprises consideration of one or more criteria that are predictive of the growth of at least one crop in the one or more geographical regions of interest. 
     
     
       33. The method of claim 31, wherein developing the travel route further comprises considering historical data indicative of variability of crop types in the one or more geographical regions of interest. 
     
     
       34. The method of claim 31, wherein developing the travel route further comprises considering weather data for at least a portion of the one or more geographical regions of interest. 
     
     
       35. The method of claim 31, wherein developing the travel route further comprises emphasizing regions of importance in terms of production and deemphasizing regions with comparatively lower production numbers. 
     
     
       36. The method of claim 31, wherein developing the travel route further comprises emphasizing regions that are highly variable in amount of production in comparison to other regions more consistent in the amount of production. 
     
     
       37. The method of claim 31, wherein developing the travel route further comprises emphasizing regions that shift from growth of one type of crop to growth of another type of crop over a predetermined time period and deemphasizing regions that are comparatively more consistent with respect to the type of crop produced. 
     
     
       38. The method of claim 31, further comprising using satellite imagery for identifying the one or more geographical regions of interest. 
     
     
       39. The method of claim 31, further comprising using satellite imagery for developing the travel route. 
     
     
       40. The method of claim 31, wherein the collected image data comprise image data selected from the group consisting of photographic images, hyperspectral images, and infrared images. 
     
     
       41. The method of claim 31, further comprising collecting the image data based on a factor selected from the group consisting of speed of the drone, desired resolution of the image data, altitude of the drone, type of photographic equipment employed to collect the image data, and data storage capacity of one or more data storage media for storing the collected image data. 
     
     
       42. The method of claim 31, further comprising providing the forecasted commodity production information to a customer selected from the group consisting of crop producer, crop seller, crop buyer, crop broker, crop distributor, elevator operator, commodities broker, futures buyer, futures seller, and futures broker. 
     
     
       43. The method of claim 31, further comprising setting a futures price for a specified crop or commodity based at least in part on the forecasted commodity production information.