GB2594524A - Systems and methods for monitoring pollination activity - Google Patents
Systems and methods for monitoring pollination activity Download PDFInfo
- Publication number
- GB2594524A GB2594524A GB2006508.2A GB202006508A GB2594524A GB 2594524 A GB2594524 A GB 2594524A GB 202006508 A GB202006508 A GB 202006508A GB 2594524 A GB2594524 A GB 2594524A
- Authority
- GB
- United Kingdom
- Prior art keywords
- pollen
- image
- characteristic
- pollinators
- wavelength
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title abstract description 5
- 230000010152 pollination Effects 0.000 title abstract description 4
- 238000012544 monitoring process Methods 0.000 title abstract 2
- 239000003086 colorant Substances 0.000 abstract description 2
- 238000010801 machine learning Methods 0.000 abstract 1
- 230000002431 foraging effect Effects 0.000 description 2
- 230000017260 vegetative to reproductive phase transition of meristem Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K55/00—Bee-smokers; Bee-keepers' accessories, e.g. veils
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K29/00—Other apparatus for animal husbandry
- A01K29/005—Monitoring or measuring activity, e.g. detecting heat or mating
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- G01N15/1433—
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/60—Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
-
- G01N15/01—
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Electro-optical investigation, e.g. flow cytometers
- G01N2015/1486—Counting the particles
Abstract
A method of monitoring pollination activity comprising capturing an image 210, analysing the image 220, detecting if the image contains at least one pollinator and at least one pollen element 230, determining a characteristic of the pollen element 240 and comparing the characteristic to one or more predefined characteristics to determine the source of the pollen element (310, figure 3). The image may be captured near a hive. The pollen element may be detected by determining if the image contains a pollen basket or scopa having pollen disposed thereon. The pollen characteristic may comprise one or more colours, wavelengths, or a dimension. The identified source may be a type of plant or a geographical location. The number of pollinators meeting a characteristic may be counted and a user notified in dependence on a predetermined threshold number. Data relating to the number of pollen baskets, pollinators, and pollen elements may be recorded in a memory and a report comprising one or more of the data may be produced. A system (100, figure 1) comprising an image capturing device (130, figure 1) for capturing an image and one or more processors (110, figure 1), optionally utilising machine learning algorithms, is also claimed.
Description
Making such a determination collectively for a colony may be useful in evaluating pollination optimisation; such embodiments are best presented in relation to FIGs. 4-8.
FIG. 4 provides an exemplary method 400 substantially similar to the method 300 of FIG. 3, but further comprising determining 410 a number of pollinators in the captured image having a pollen element with a characteristic which substantially corresponds to a predefined characteristic. For example, and as presented in FIG. 5, it may be desirable to determine 510 the colour(s) or wavelength of pollen in the pollen basket(s) of pollinator(s) in the captured image, compare 520 the determined colour(s) or wavelength(s) of the pollen in the pollen basket(s) to one or more predefined colours or wavelengths to determine the source of the pollen element, and then determine 530 a number of pollinators having a pollen element in the captured image with pollen of a colour or wavelength which substantially corresponds to a predefined colour, wavelength, or which falls within a range of wavelengths. It will be understood that in certain embodiments when the determined wavelength is compared with more than one predefined wavelength, the determined wavelength may be compared with a range of wavelengths. That is, whether the determined wavelength of pollen falls between a first predefined wavelength and a second predefined wavelength. What is more, the process of comparison may be repeated iteratively as desired. This would facilitate calculation of a percentage of pollinators foraging from a particular type of plant, and therefore possibly a percentage of pollinators foraging from a grower's land. As elucidated above, such determinations are crucial in evaluating pollination optimisation. If the percentage of pollinators with a target pollen colour or target wavelength is less than a predefined threshold, this would indicate that the pollinators are not working as they should and grower intervention may be required. For example, intervention may comprise one or more of: replacing a colony or colonies, adding a further colony or colonies, identifying the existence of competing foragers, or simply removing pollinators if the flowering season has ended. If the percentage of pollinators (e.g.) with pollen baskets containing a target pollen colour or target wavelength is greater than a predefined threshold, this would indicate to the grower that the pollinators are working well. A target wavelength may comprise a single pollen wavelength, or any pollen wavelength falling within a predefined range of wavelengths. When the target wavelength comprises a single pollen wavelength, the comparison to a predefined wavelength may be made to within a predefined margin, i.e. plus or minus
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB2006508.2A GB2594524B (en) | 2020-05-01 | 2020-05-01 | Systems and methods for monitoring pollination activity |
PCT/EP2021/060552 WO2021219486A1 (en) | 2020-05-01 | 2021-04-22 | Systems and methods for monitoring pollination activity |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB2006508.2A GB2594524B (en) | 2020-05-01 | 2020-05-01 | Systems and methods for monitoring pollination activity |
Publications (3)
Publication Number | Publication Date |
---|---|
GB202006508D0 GB202006508D0 (en) | 2020-06-17 |
GB2594524A true GB2594524A (en) | 2021-11-03 |
GB2594524B GB2594524B (en) | 2022-04-27 |
Family
ID=71080502
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
GB2006508.2A Active GB2594524B (en) | 2020-05-01 | 2020-05-01 | Systems and methods for monitoring pollination activity |
Country Status (2)
Country | Link |
---|---|
GB (1) | GB2594524B (en) |
WO (1) | WO2021219486A1 (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117495947A (en) * | 2023-10-23 | 2024-02-02 | 佛山市天下谷科技有限公司 | Pineapple flower-dropping method, electronic equipment and computer readable storage medium |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2019236843A1 (en) * | 2018-06-06 | 2019-12-12 | Monsanto Technology Llc | Systems and methods for distinguishing fertile plant specimens from sterile plant specimens |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150123801A1 (en) * | 2013-11-01 | 2015-05-07 | Eltopia Communications, LLC | Monitoring the state of a beehive |
CN108872096A (en) * | 2018-07-11 | 2018-11-23 | 中国农业科学院蜜蜂研究所 | A kind of multifarious measurement method of honeybee herborization pollen |
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2020
- 2020-05-01 GB GB2006508.2A patent/GB2594524B/en active Active
-
2021
- 2021-04-22 WO PCT/EP2021/060552 patent/WO2021219486A1/en active Application Filing
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2019236843A1 (en) * | 2018-06-06 | 2019-12-12 | Monsanto Technology Llc | Systems and methods for distinguishing fertile plant specimens from sterile plant specimens |
Non-Patent Citations (3)
Title |
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C. Yang and J. Collins, "Deep Learning for Pollen Sac Detection and Measurement on Honeybee Monitoring Video," 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ), Dunedin, New Zealand, 2019, pp. 1-6, doi: 10.1109/IVCNZ48456.2019.8961011 * |
F. E. Murphy, M. Magno, L. O'Leary, K. Troy, P. Whelan and E. M. Popovici, "Big brother for bees (3B) Energy neutral platform for remote monitoring of beehive imagery and sound," 2015 6th International Workshop on Advances in Sensors and Interfaces (IWASI), Gallipoli, 2015, pp. 106-111, doi: 10.110 * |
J. Marstaller, F. Tausch and S. Stock, "DeepBees - Building and Scaling Convolutional Neuronal Nets For Fast and Large-Scale Visual Monitoring of Bee Hives," 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), Seoul, Korea (South), 2019, pp. 271-278, doi: 10.1109/ICCVW.2019.0 * |
Also Published As
Publication number | Publication date |
---|---|
WO2021219486A1 (en) | 2021-11-04 |
GB2594524B (en) | 2022-04-27 |
GB202006508D0 (en) | 2020-06-17 |
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