Method for plantation treatment of a plantation field
US-2022167606-A1 · Jun 2, 2022 · US
US12075770B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12075770-B2 |
| Application number | US-202017598273-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 25, 2020 |
| Priority date | Mar 26, 2019 |
| Publication date | Sep 3, 2024 |
| Grant date | Sep 3, 2024 |
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Method for pest treatment of a plantation field, controlling device for controlling a pest treatment of a plantation field and a treatment device having said controlling device, wherein the treatment considers a pest insect population and a beneficial insect population.
Opening claim text (preview).
The invention claimed is: 1. A method for pest treatment of a plantation field, the method comprising: taking (S 10 ) an image ( 10 ) from a predetermined range ( 310 ) of a plantation of the plantation field ( 300 ); recognizing (S 20 ) items ( 20 ) on the taken image ( 10 ) of the predetermined range; identifying (S 30 ) one or a plurality of patterns ( 31 , 32 , . . . 39 ) of an insect population based on the recognized items and a database ( 90 ) having stored samples of an insect population ( 931 , 932 , . . . 939 ); determining (S 40 ) a measure of a quantity of insect population based on the identified patterns; and controlling (S 50 ) a treatment arrangement ( 60 ) of a treatment device ( 200 ) based on the determined quantity of insect population, wherein controlling (S 50 ) of a treatment arrangement ( 60 ) includes activating (S 60 ) a treatment unit ( 61 , 62 , 63 ) if a quantity of a first type ( 931 , 932 ) and/or a second type ( 933 , 934 ) of pest insects extends a predetermined threshold (tp), and blocking a treatment unit ( 61 , 62 , 63 ) from being activated if a quantity of a particular type of beneficial insects ( 936 , 937 ) extends a predetermined threshold (tb). 2. The method according to claim 1 , wherein controlling (S 50 ) of a treatment arrangement ( 60 ) is conducted based on a lookup table having stored a relation of a quantity of pest insect population and a quantity of beneficial insect population and a respective quantitative activation grade for a treatment unit ( 61 , 62 , 63 ) being allocated to a respective relation. 3. The method according to claim 1 , wherein recognizing (S 20 ) items ( 20 ) on a taken image ( 10 ) is conducted based on a spectral detection of at least one pixel, in particular a red-green-near infrared RGNIR detection of at least one pixel, wherein a pattern ( 31 , 32 , . . . 39 ) is based on a location of the at least one detected pixel in a color space, in particular an RGNIR color space. 4. The method according to claim 1 , wherein identifying (S 30 ) one or a plurality of patterns ( 31 , 32 , . . . 39 ) of an insect population is based on an algorithm fed by stored samples of an insect population ( 931 , 932 , . . . 939 ) of the database ( 90 ). 5. The method according to claim 1 , wherein an identified pattern ( 31 , 32 , . . . 39 ) of an insect population is stored as a sample of an insect population ( 931 , 932 , . . . 939 ) in the database ( 90 ). 6. The method according to claim 1 , wherein recognizing (S 10 ) items ( 20 ) is conducted on a plurality of predetermined ranges ( 310 , 320 , 330 ) simultaneously, wherein identifying (S 30 ) one or a plurality of patterns ( 31 , 32 , . . . 39 ) of an insect population is conducted on the plurality of predetermined ranges, respectively, wherein determining (S 40 ) a measure of a quantity of insect population is conducted on the plurality of predetermined ranges, respectively, wherein controlling (S 50 ) a treatment arrangement ( 60 ) of a treatment device ( 200 ) is conducted for one or a plurality of treatment units ( 61 , 62 , 63 ) being allocated to a respective one of the plurality of predetermined ranges ( 310 , 320 , 330 ). 7. The method according to claim 1 , wherein recognizing (S 20 ) items ( 20 ) on the image ( 10 ) includes at least one of a recognition of a shape ( 21 ), a wing beat frequency and spectral signature ( 22 ) of a particular type of insect, in particular in an RGNIR color space of a particular type of insect. 8. The method according to claim 1 , wherein the stored samples ( 931 , 932 , . . . 939 ) represent a single pest insect ( 931 , 933 ) or an agglomeration of a plurality of pest insects ( 932 , 934 ), in particular a single or an agglomeration of a plurality of potato beetles ( 931 , 932 ), a single or an agglomeration of a plurality of pollen beetles ( 933 , 934 ) or a combination thereof ( 935 ), and/or the stored samples represent a single beneficial insect ( 936 ) or an agglomeration of a plurality of beneficial insects ( 937 ), in particular a single or an agglomeration of a plurality of bees. 9. The method according to claim 1 , wherein the stored samples represent combination ( 938 , 939 ) of a single or an agglomeration of a plurality of pest insects, in particular a single or an agglomeration of a plurality of potato beetles, and/or a single or an agglomeration of a plurality of pollen beetles, and a single or an agglomeration of a plurality of beneficial insects, in particular a single or an agglomeration of a plurality of bees. 10. The method according to claim 1 , wherein determining (S 40 ) a measure of a quantity of insect population includes determining (S 41 ) at least one of a quantity of a particular first type of pest insects ( 931 , 932 ), in particular potato beetles, a quantity of a particular second type of pest insects ( 933 , 934 ), in particular pollen beetles, and/or a quantity of a particular third type of beneficial insects ( 936 , 937 ), in particular bees. 11. The method according to claim 1 , wherein determining (S 40 ) includes online determination of a measure of a quantity of insect population based on the identified patterns, wherein in particular during field passage images and/or scans are captured, information is collected and a localized application according to the imaged and/or scanned item is carried out; wherein image capture and/or scan capture is timed such that it correlates with the speed during passage. 12. A controlling device for a treatment device, in particular a smart sprayer ( 200 ) for pest treatment of a plantation field ( 300 ), the controlling device comprising: an image interface ( 110 ); a treatment control interface ( 160 ); a database interface ( 190 ); an image recognition unit ( 120 ) being adapted for recognizing items ( 20 ) on an image ( 10 ) received from the image interface; an identification unit ( 130 ) being adapted for identifying one or a plurality of patterns ( 31 , 32 , . . . 39 ) of an insect population based on the output of the image recognition unit and samples ( 931 , 932 , . . . 939 ) of an insect population being received from a database ( 90 ) having stored samples ( 931 , 932 , . . . 939 ) of a pest population via the database interface ( 190 ); a determination unit ( 140 ) being adapted for determining a measure of a quantity of insect population based on the identified patterns ( 31 , 32 , . . . 39 ); and a controlling unit ( 150 ) being adapted for generating a controlling signal for a treatment arrangement ( 60 ) of a treatment device ( 200 ) based on the determined measure of a quantity of insect population and for outputting the controlling signal to the treatment control interface ( 160 ), wherein the controlling unit ( 150 ) being adapted for generating an activating signal for a treatment unit ( 61 , 62 , 63 ) if a quantity of a first type ( 931 , 932 ) and/or a second type ( 933 , 934 ) of pest insects extends a predetermined threshold (tp), and generating a blocking signal for deactivating a treatment unit ( 61 , 62 , 63 ) if a quantity of a particular type of beneficial insects ( 936 , 937 ) extends a predetermined threshold (tb). 13. The controlling device according to claim 12 , wherein the image recognition unit ( 120 ) is adapted for conducting an item recognition on a plurality of predetermined ranges ( 310 , 320 , 330 ) simultaneously, wherein the identification unit ( 130 ) is adapted for identifying one or a plurality of patterns ( 31 , 32 , . . . 39 ) of an insect population on the plurality of predetermined ranges, respectively, wherein the determinati
using an image reference approach · CPC title
Insects · CPC title
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