Method and system for automated plant surveillance and manipulation
A method and a system for automated plant surveillance and manipulation are provided. Pursuant to the method and the system, images of target plants are obtained through a machine vision system having multiple cameras. The obtained images of the target plants are processed to determine tissue candidates of the target plants and to determine a position and an orientation of each tissue candidate. A tool is manipulated, based on the position and the orientation of each tissue candidate, to excise each tissue candidate to obtain tissue samples. The tissue samples are transported for subsequently manipulation including live processing of the tissue samples or destructive processing of the tissue samples.
1. A method for automated plant surveillance and manipulation, comprising:
obtaining images of at least one target plant through a machine vision system comprising a plurality of cameras;
processing the images of the at least one target plant to determine at least one tissue candidate of the at least one target plant and to determine a position and an orientation of each of the at least one tissue candidate;
manipulating a tool, based on the position and the orientation of said each of the at least one tissue candidate, to excise said each of the at least one tissue candidate to obtain a sample of said each of the at least one tissue candidate; and
transporting the sample for manipulation.
2. The method according to claim 1 , wherein the manipulation comprises live processing of the sample.
3. The method according to claim 1 , wherein the manipulation comprises destructive processing of the sample.
4. The method according to claim 1 , further comprising:
moving the at least one target plant through an automatic transportation system with respect to a detection range of the machine vision system,
wherein the automatic transportation system comprises:
a rotating stage for rotating the at least one target plant with respect to the detection range of the machine vision system; and
a translating stage for linearly moving the at least one target plant with respect to the detection range of the machine vision system.
5. The method according to claim 1 , wherein the obtaining images of the at least one target plant through the machine vision system comprises:
obtaining color images or multispectral or hyperspectral images of the at least one target plant, through the machine vision system, for assessing a property of said each of the at least one tissue candidate and for determining the position and the orientation of said each of the at least one tissue candidate,
wherein the plurality of cameras comprises a color camera being configured to provide images of the top of the at least one target plant.
6. The method according to claim 5 , wherein the at least one tissue candidate comprises a plant part of the at least one target plant and the property comprises a quality of the plant part.
7. The method according to claim 6 , wherein the plant part is a leaf.
8. The method according to claim 6 , wherein the quality of the leaf is the greenness, the size, or the shape of the leaf.
9. The method according to claim 6 , wherein the quality is a spectral signature within or outside the visible range.
10. The method according to claim 1 , wherein the obtaining images of the at least one target plant through the machine vision system comprises:
obtaining 3D images of the at least one target plant, through the machine vision system, for assessing a property of said each of the at least one tissue candidate and for determining the position and the orientation of said each of the at least one tissue candidate,
wherein the machine vision system further comprises a 3D imaging system for obtaining the 3D images.
11. The method according to claim 10 , wherein the at least one tissue candidate comprises a plant part of the at least one target plant and comprises of a property of a plant part.
12. The method according to claim 10 , further comprising:
processing the 3D images to determine a path for moving the tool based on the position and the orientation of said each of the at least one tissue candidate.
13. The method according to claim 1 , wherein the sample is subjected to transformation.
14. The method according to claim 13 , wherein the transformation is achieved by a method selected from agrobacterium-mediated transformation, viral vector-mediated transformation, polyethylene glycol (PEG)-mediated transformation, liposome-mediated transformation, nanoparticle-mediated transformation, electroporation, and particle gun transformation.
15. The method according to claim 1 , further comprising subjecting the sample to destructive processing and extraction.
16. The method according to claim 1 , wherein the transporting the sample comprises transporting the sample into an infection medium comprising liquid culture of agrobacterium carrying a DNA construct of interest.
17. The method according to claim 1 , wherein the transporting the sample comprises transporting the sample into a sequencing medium.
18. The method according to claim 1 , further comprising:
obtaining images of the sample in a medium through the machine vision system;
processing the images of the sample to determine whether to move the sample into a solid medium; and
based on a determination of moving the sample into the solid medium, transporting the sample into the solid medium,
wherein the solid medium comprises a solid callus container for shoot induction.
19. The method according to claim 1 , wherein the at least one tissue candidate comprises a plurality of tissue candidates each selected from a group consisting of a shoot, a root, a leaf, an apex, a node, and an internode of the at least one target plant.
20. The method according to claim 1 , wherein the at least one target plant comprises a plurality of target plants.
21. A method for automated plant surveillance and manipulation, comprising:
obtaining images of at least one target plant through a machine vision system comprising a plurality of cameras;
processing the images of the at least one target plant to determine a position and an orientation of each of the at least one target plant; and
manipulating a tool, based on the position and the orientation of said each of the at least one target plant, to deposit an agent on (i) each of the at least one target plant or (ii) each medium of the at least one target plant.
22. The method according to claim 21 , wherein the agent is a microbial or chemical agent.
23. A system for automated plant surveillance and manipulation, comprising:
a hardware processor; and
a memory coupled with the hardware processor,
wherein the hardware processor is configured at least to:
obtain images of at least one target plant through a machine vision system comprising a plurality of cameras;
process the images of the at least one target plant to determine at least one tissue candidate of the at least one target plant and to determine a position and an orientation of each of the at least one tissue candidate;
manipulate a tool, based on the position and the orientation of said each of the at least one tissue candidate, to excise said each of the at least one tissue candidate to obtain a sample of said each of the at least one tissue candidate; and
transport the sample for manipulation.
24. The system according to claim 23 , wherein the hardware processor is further configured to:
move the at least one target plant through an automatic transportation system with respect to a detection range of the machine vision system,
wherein the automatic transportation system comprises:
a rotating stage for rotating the at least one target plant with respect to the detection range of the machine vision system; and
a translating stage for linearly moving the at least one target plant with respect to the detection range of the machine vision system.
25. The system of claim 24 , further comprising an actuator station that is independent of the tool.
26. The system of claim 23 , wherein the tool comprises a robotic arm.
27. The system according to claim 23 , wherein the hardware processor is further configured to:
obtain color images or multispectral images or hyperspectral images of the at least one target plant, through the machine vision system, for assessing a predetermined property of said each of the at least one tissue candidate and for determining the position and the orientation of said each of the at least one tissue candidate,
wherein the plurality of cameras comprise a color camera being configured to provide images of the top of the at least one target plant.
28. The system according to claim 23 , wherein the plurality of cameras is configured to take color images or multispectral images or hyperspectral images.
29. The system according to claim 23 , wherein the at least one tissue candidate comprises a leaf of the at least one target plant and the property comprises a quality of the leaf.
30. The system according to claim 29 , wherein the quality of the leaf is the greenness, the size, or the shape.
31. The system according to claim 29 , wherein the quality is a spectral signature within or outside the visible range.
32. The system according to claim 27 , wherein the hardware processor is further configured to:
obtain 3D images of the at least one target plant, through the machine vision system, for assessing a predetermined property of said each of the at least one tissue candidate and for determining the position and the orientation of said each of the at least one tissue candidate,
wherein the machine vision system further comprises a 3D imaging system for obtaining the 3D images.
33. The system according to claim 32 , wherein the at least one tissue candidate comprises a leaf of the at least one target plant and the property comprises a shape of the leaf.
34. The system according to claim 32 , wherein the hardware processor is further configured to:
process the 3D images to determine a path for moving the tool based on the position and the orientation of said each of the at least one tissue candidate.
35. The system according to claim 27 , wherein the sample is subjected to transformation.
36. The system according to claim 35 , wherein the transformation is achieved by a method selected from agrobacterium-mediated transformation, viral vector-mediated transformation, polyethylene glycol (PEG)-mediated transformation, liposome-mediated transformation, nanoparticle-mediated transformation, electroporation, and particle gun transformation.
37. The system according to claim 27 , wherein the hardware processor is further configured to transport the sample into a transformation medium.
38. The system of claim 37 , wherein the transformation medium is an infection medium comprising liquid culture of agrobacterium carrying a DNA construct of interest.
39. The system according to claim 27 , wherein the transporting the sample comprises transporting the sample into a tissue culture medium, an infection medium or a sample preserving medium.
40. The system according to claim 27 , wherein the hardware processor is further configured to:
obtain images of the sample in the liquid medium through the machine vision system;
process the images of the sample to determine whether to move the sample into a solid medium; and
based on a determination of moving the sample into the solid medium, transport the sample into the solid medium,
wherein the solid medium comprises a solid callus container for shoot induction.
41. The system according to claim 27 , wherein the at least one tissue candidate comprises a plurality of tissue candidates each selected from a group consisting of a shoot, a root, a leaf, an apex, a node, and an internode of the at least one target plant.
42. The system according to claim 27 , wherein the at least one target plant comprises a plurality of target plants.
43. A system for automated plant surveillance and manipulation, comprising:
a hardware processor; and
a memory coupled with the hardware processor,
wherein the hardware processor is configured at least to:
obtain images of at least one target plant through a machine vision system comprising a plurality of cameras;
process the images of the at least one target plant to determine a position and an orientation of each of the at least one target plant; and
manipulate a tool, based on the position and the orientation of said each of the at least one target plant, to deposit an agent on (i) each of the at least one target plant or (ii) each medium of the at least one target plant.
44. The system according to claim 43 , wherein the agent is a microbial or chemical agent.
45. A computer program product for implementing plant transformation, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processing element of a device to cause the device to:
obtain images of at least one target plant through a machine vision system comprising a plurality of cameras;
process the images of the at least one target plant to determine at least one tissue candidate of the at least one target plant and to determine a position and an orientation of each of the at least one tissue candidate;
manipulate a tool, based on the position and the orientation of said each of the at least one tissue candidate, to excise said each of the at least one tissue candidate to obtain a sample of said each of the at least one tissue candidate; and
transport the sample for manipulation.
46. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processing element of a device to cause the device to:
obtain images of at least one target plant through a machine vision system comprising a plurality of cameras;
process the images of the at least one target plant to determine a position and an orientation of each of the at least one target plant; and
manipulate a tool, based on the position and the orientation of said each of the at least one target plant, to deposit an agent on (i) each of the at least one target plant or (ii) each medium of the at least one target plant.
47. The computer program according to claim 46 , wherein the agent is a microbial or chemical agent.
48. A method for automated surveillance and manipulation, comprising:
obtaining images of at least one target subject through a machine vision system comprising a plurality of cameras;
processing the images of the at least one target subject to determine at least one part of the at least one target subject and to determine a position and an orientation of each of the at least one part;
manipulating a tool, based on the position and the orientation of said each of the at least one part, to obtain a sample of each of the at least one part to obtain a sample of said each of the at least one part; and
transporting the sample for manipulation.
49. The method of claim 48 , wherein said target subject is a target plant, and said part is a tissue candidate of the target plant.
50. The method of claim 48 , wherein said target subject is a target anchoring media supporting a plant, and wherein the at least one part of the anchoring media is a solid, gel-like or particulate matter such as agar, phytagel, sand, soil or artificial soil.