Transportation system

1. A method comprising:

identifying, by one or more processors of a computer system, a presence of a pest infestation problem with one or more items in transport using cognitive analytics to notice patterns and draw conclusions based on detected patterns and using information received from at least one sensing device to determine that one or more conditions are met which indicate a particular pest infestation is likely to be present, wherein the identifying the presence of the pest infestation problem with one or more items in transport using cognitive analytics and information received from the at least one sensing device further comprises:

identifying, by the one or more processors of the computer system, one or more points in a supply chain for transporting the one or more items that need to be tracked;

identifying, by the one or more processors of the computer system, a container used to transport the one or more items; and

scanning, by at least one sensing device, the container at the one or more points in the supply chain to detect whether a pest infestation is found within the containers;

in response to the identifying, storing, by the one or more processors of the computer system, an identification of the presence of the pest infestation problem in a block chain ledger by a secure and validated feed having an indexed encryption identifying the sensing device; and

recommending, by the one or more processors of the computer system, a remediation action to fix the pest infestation problem with the one or more items.

2. The method of claim 1 , further comprising:

validating, by the one or more processors of the computer system, the recommended remediation action using cognitive analysis prior to transporting the one or more items.

3. The method of claim 1 , wherein the identifying the presence of the pest infestation problem with one or more items in transport using cognitive analytics and information received from the at least one sensing device further comprises:

using a handheld or mobile microphone and/or camera to check for pests in the container during pickup;

receiving, by the one or more processors of the computer system, audio or video captured by the handheld or mobile microphone and/or camera;

analyzing, by the one or more processors of the computer system, the audio or video to identify pests present and a level of infestation within the container.

4. The method of claim 3 , wherein the container includes the at least one sensing device, the method further including registering each of the container, the one or more items, and the at least one sensing device in the block chain ledger.

5. The method of claim 1 , further comprising:

providing secure identification of a plurality of vehicles used for transporting the one or more items to the one or more processors of the computer system; and

auditing, by the one or more processors of the computer system, a historical status of the plurality of vehicles used for transporting the one or more items checking for prior problems; and at least one of:

validating remediation of the prior problems; and

rechecking one or more of the plurality of vehicles.

6. The method of claim 5 , further comprising:

determining, by the one or more processors of the computer system, the appropriate method and location to validate remediation of the prior problems.

7. The method of claim 1 , further comprising:

determining, by the one or more processors of the computer system, that the pest infestation is a particular type of pest infestation;

identifying, by the one or more processors of the computer system, actions required based on the existence of the pest infestation and the risks associated with the particular type of pest infestation and the particular type of items that comprise the one or more items.

8. A computer system, comprising:

one or more processors;

one or more memory devices coupled to the one or more processors; and

one or more computer readable storage devices coupled to the one or more processors, wherein the one or more storage devices contain program code executable by the one or more processors via the one or more memory devices to implement a method, the method comprising:

identifying, by the one or more processors of the computer system, a presence of a pest infestation problem with one or more items in transport using cognitive analytics to notice patterns and draw conclusions based on detected patterns and using information received from at least one sensing device to determine that one or more conditions are met which indicate a particular pest infestation is likely to be present, wherein the identifying the presence of the pest infestation problem with one or more items in transport using cognitive analytics and information received from the at least one sensing device further comprises:

identifying, by the one or more processors of the computer system, one or more points in a supply chain for transporting the one or more items that need to be tracked;

identifying, by the one or more processors of the computer system, a container used to transport the one or more items; and

scanning, by at least one sensing device, the container at the one or more points in the supply chain to detect whether a pest infestation is found within the containers;

in response to the identifying, storing, by the one or more processors of the computer system, an identification of the presence of the pest infestation problem in a block chain ledger by a secure and validated feed having an indexed encryption identifying the sensing device; and

recommending, by the one or more processors of the computer system, a remediation action to fix the pest infestation problem with the one or more items.

9. The computer system of claim 8 , the method further comprising:

validating, by the one or more processors of the computer system, the recommended remediation action using cognitive analysis prior to transporting the one or more items.

10. The computer system of claim 8 , wherein the identifying the presence of the pest infestation problem with one or more items in transport using cognitive analytics and information received from the at least one sensing device further comprises:

using a handheld or mobile microphone and/or camera to check for pests in the container during pickup;

receiving, by the one or more processors of the computer system, audio or video captured by the handheld or mobile microphone and/or camera;

analyzing, by the one or more processors of the computer system, the audio or video to identify pests present and a level of infestation within the container.

11. The computer system of claim 10 , wherein the container includes the at least one sensing device, the method further including registering each of the container, the one or more items, and the at least one sensing device in the block chain ledger.

12. The computer system of claim 8 , the method further comprising:

providing secure identification of a plurality of vehicles used for transporting the one or more items to the one or more processors of the computer system; and

auditing, by the one or more processors of the computer system, a historical status of the plurality of vehicles used for transporting the one or more items checking for prior problems; and at least one of:

validating remediation of the prior problems; and

rechecking one or more of the plurality of vehicles.

13. The computer system of claim 12 , further comprising:

determining, by the one or more processors of the computer system, the appropriate method and location to validate remediation of the prior problems.

14. The computer system of claim 8 , further comprising:

determining, by the one or more processors of the computer system, that the pest infestation is a particular type of pest infestation;

identifying, by the one or more processors of the computer system, actions required based on the existence of the pest infestation and the risks associated with the particular type of pest infestation and the particular type of items that comprise the one or more items.

15. A computer program product, comprising a computer readable hardware storage device storing a computer readable program code, the computer readable program code comprising an algorithm that when executed by one or more processors of a computer system implements a method, the method comprising:

identifying, by the one or more processors of the computer system, a presence of a pest infestation problem with one or more items in transport using cognitive analytics to notice patterns and draw conclusions based on detected patterns and using information received from at least one sensing device to determine that one or more conditions are met which indicate a particular pest infestation is likely to be present, wherein the identifying the presence of the pest infestation problem with one or more items in transport using cognitive analytics and information received from the at least one sensing device further comprises:

identifying, by the one or more processors of the computer system, one or more points in a supply chain for transporting the one or more items that need to be tracked;

identifying, by the one or more processors of the computer system, a container used to transport the one or more items; and

scanning, by at least one sensing device, the container at the one or more points in the supply chain to detect whether a pest infestation is found within the containers;

in response to the identifying, storing, by the one or more processors of the computer system, an identification of the presence of the pest infestation problem in a block chain ledger by a secure and validated feed having an indexed encryption identifying the sensing device; and

recommending, by the one or more processors of the computer system, a remediation action to fix the pest infestation problem with the one or more items.

16. The computer program product of claim 15 , the method further comprising:

validating, by the one or more processors of the computer system, the recommended remediation action using cognitive analysis prior to transporting the one or more items.

17. The computer program product of claim 15 , wherein the identifying the presence of the pest infestation problem with one or more items in transport using cognitive analytics and information received from the at least one sensing device further comprises:

using a handheld or mobile microphone and/or camera to check for pests in the container during pickup;

receiving, by the one or more processors of the computer system, audio or video captured by the handheld or mobile microphone and/or camera;

analyzing, by the one or more processors of the computer system, the audio or video to identify pests present and a level of infestation within the container.

18. The computer program product of claim 17 , wherein the container includes the at least one sensing device, the method further including registering each of the container, the one or more items, and the at least one sensing device in the block chain ledger.

19. The computer program product of claim 15 , the method further comprising:

providing secure identification of a plurality of vehicles used for transporting the one or more items to the one or more processors of the computer system; and

auditing, by the one or more processors of the computer system, a historical status of the plurality of vehicles used for transporting the one or more items checking for prior problems; and at least one of:

validating remediation of the prior problems; and

rechecking one or more of the plurality of vehicles.

20. The computer program product of claim 19 , further comprising:

determining, by the one or more processors of the computer system, the appropriate method and location to validate remediation of the prior problems.