SYSTEM AND METHOD FOR INTELLIGENT SOIL SAMPLING
A system and method for intelligent soil sampling has for a novelty robotic system (100) that samples soil based on the generation of sampling points through advanced artificial intelligence algorithms. The robotic system (100) comprises a robotic platform (101) with sampling modules (102, 105, 108)...
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| creator | BRDAR, SANJA BIRGERMAJER, SLOBODAN CRNOJEVIĆ, VLADIMIR ČABA, PETEŠ KRKLJEŠ, DAMIR KITIĆ, GORAN PANIĆ, MARKO |
| description | A system and method for intelligent soil sampling has for a novelty robotic system (100) that samples soil based on the generation of sampling points through advanced artificial intelligence algorithms. The robotic system (100) comprises a robotic platform (101) with sampling modules (102, 105, 108), which communicates with a server (111), that consists a localization module (113) containing artificial intelligence algorithms based on satellite images from multiple spectral channels and/or images from high-resolution drone for a given parcel (301), generates zones and determines the coordinates of points as the best representatives of the zones to take place efficiently and quickly sampling the land. Intelligent sampling takes place through several steps where the sampling limits are defined, so a mask is placed on a given plot, after which a pixel matrix with vegetation indices is formed, which is then normalized and K-mean algorithm in different spatial resolutions is worked on with calculation of probability that each pixel (315, 316) belongs to one of the K zones, taking into account its environment with a different number of pixels, where each pixel (315, 316) is associated with changes in spatial resolutions (311, 312, 313), diagonally (314), associated with new values of affiliation probabilities and finally in step (317) a consensus is reached where the final zones are determined and the probability of affiliation of pixels (315, 316) to zones is estimated based on local histograms of matrix entities (311, 312, 313).
Sistem i metod za inteligentno uzorkovanje zemljišta ima za novost robotski sistem (100) koji uzorkuje zemljište na bazi generisanja tačaka uzorkovanja putem naprednih algoritama veštačke inteligencije. Robotski sistem (100) sadrži robotsku platformu (101) sa modulima (102, 105, 108) za uzorkovanje, koja komunicira sa serverom (111), na kome se nalazi modul (113) za lokalizaciju koji sadrži algoritme veštačke inteligencije koji na osnovu satelitskih snimaka sa više spektralnih kanala i/ili snimaka sa drona visoke prostorne rezolucije za datu parcelu (301), generiše zone i određuje koordinate tačaka kao najbolje predstavnike zona da se odvija efikasno i brzo uzorkovanje zemljišta. Inteligentno uzorkovanje se odvija kroz nekoliko koraka gde se definišu granice uzorkovanja, pa se postavlja maska na datoj parceli, nakon čega se formira matrica piksela sa vegetacionim indeksima, koja se potom normira i nad njom se radi algoritam K-srednjih |
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Sistem i metod za inteligentno uzorkovanje zemljišta ima za novost robotski sistem (100) koji uzorkuje zemljište na bazi generisanja tačaka uzorkovanja putem naprednih algoritama veštačke inteligencije. Robotski sistem (100) sadrži robotsku platformu (101) sa modulima (102, 105, 108) za uzorkovanje, koja komunicira sa serverom (111), na kome se nalazi modul (113) za lokalizaciju koji sadrži algoritme veštačke inteligencije koji na osnovu satelitskih snimaka sa više spektralnih kanala i/ili snimaka sa drona visoke prostorne rezolucije za datu parcelu (301), generiše zone i određuje koordinate tačaka kao najbolje predstavnike zona da se odvija efikasno i brzo uzorkovanje zemljišta. Inteligentno uzorkovanje se odvija kroz nekoliko koraka gde se definišu granice uzorkovanja, pa se postavlja maska na datoj parceli, nakon čega se formira matrica piksela sa vegetacionim indeksima, koja se potom normira i nad njom se radi algoritam K-srednjih vrednosti u različitim prostornim rezolucijama nakon čega se računa verovatnoća da svaki piksel (315, 316) pripada jednoj od K zona, uzimajući u obzir njegovu okolinu sa različitim brojem piksela, pri čemu svaki piksel (315, 316) se izmenama prostornih rezolucija (311, 312, 313), po dijagonali (314), povezuje se sa novim vrednostima verovatnoća pripadnosti i na kraju se se u koraku (317) donosi konsenzus gde se određuju finalne zone i estimacija verovatnoće pripadnosti piksela (315, 316) zonama na osnovu lokalnih histograma entiteta matrica (311, 312, 313).</description><language>eng ; srp</language><subject>AGRICULTURE ; ANIMAL HUSBANDRY ; CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; FERTILISING ; FISHING ; FORESTRY ; GYROSCOPIC INSTRUMENTS ; HUMAN NECESSITIES ; HUNTING ; MEASURING ; MEASURING DISTANCES, LEVELS OR BEARINGS ; NAVIGATION ; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES ORIMPLEMENTS, IN GENERAL ; PHOTOGRAMMETRY OR VIDEOGRAMMETRY ; PHYSICS ; PLANTING ; SOIL WORKING IN AGRICULTURE OR FORESTRY ; SOWING ; SURVEYING ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR ; TESTING ; TRAPPING</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220131&DB=EPODOC&CC=RS&NR=20200817A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220131&DB=EPODOC&CC=RS&NR=20200817A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>BRDAR, SANJA</creatorcontrib><creatorcontrib>BIRGERMAJER, SLOBODAN</creatorcontrib><creatorcontrib>CRNOJEVIĆ, VLADIMIR</creatorcontrib><creatorcontrib>ČABA, PETEŠ</creatorcontrib><creatorcontrib>KRKLJEŠ, DAMIR</creatorcontrib><creatorcontrib>KITIĆ, GORAN</creatorcontrib><creatorcontrib>PANIĆ, MARKO</creatorcontrib><title>SYSTEM AND METHOD FOR INTELLIGENT SOIL SAMPLING</title><description>A system and method for intelligent soil sampling has for a novelty robotic system (100) that samples soil based on the generation of sampling points through advanced artificial intelligence algorithms. The robotic system (100) comprises a robotic platform (101) with sampling modules (102, 105, 108), which communicates with a server (111), that consists a localization module (113) containing artificial intelligence algorithms based on satellite images from multiple spectral channels and/or images from high-resolution drone for a given parcel (301), generates zones and determines the coordinates of points as the best representatives of the zones to take place efficiently and quickly sampling the land. Intelligent sampling takes place through several steps where the sampling limits are defined, so a mask is placed on a given plot, after which a pixel matrix with vegetation indices is formed, which is then normalized and K-mean algorithm in different spatial resolutions is worked on with calculation of probability that each pixel (315, 316) belongs to one of the K zones, taking into account its environment with a different number of pixels, where each pixel (315, 316) is associated with changes in spatial resolutions (311, 312, 313), diagonally (314), associated with new values of affiliation probabilities and finally in step (317) a consensus is reached where the final zones are determined and the probability of affiliation of pixels (315, 316) to zones is estimated based on local histograms of matrix entities (311, 312, 313).
Sistem i metod za inteligentno uzorkovanje zemljišta ima za novost robotski sistem (100) koji uzorkuje zemljište na bazi generisanja tačaka uzorkovanja putem naprednih algoritama veštačke inteligencije. Robotski sistem (100) sadrži robotsku platformu (101) sa modulima (102, 105, 108) za uzorkovanje, koja komunicira sa serverom (111), na kome se nalazi modul (113) za lokalizaciju koji sadrži algoritme veštačke inteligencije koji na osnovu satelitskih snimaka sa više spektralnih kanala i/ili snimaka sa drona visoke prostorne rezolucije za datu parcelu (301), generiše zone i određuje koordinate tačaka kao najbolje predstavnike zona da se odvija efikasno i brzo uzorkovanje zemljišta. Inteligentno uzorkovanje se odvija kroz nekoliko koraka gde se definišu granice uzorkovanja, pa se postavlja maska na datoj parceli, nakon čega se formira matrica piksela sa vegetacionim indeksima, koja se potom normira i nad njom se radi algoritam K-srednjih vrednosti u različitim prostornim rezolucijama nakon čega se računa verovatnoća da svaki piksel (315, 316) pripada jednoj od K zona, uzimajući u obzir njegovu okolinu sa različitim brojem piksela, pri čemu svaki piksel (315, 316) se izmenama prostornih rezolucija (311, 312, 313), po dijagonali (314), povezuje se sa novim vrednostima verovatnoća pripadnosti i na kraju se se u koraku (317) donosi konsenzus gde se određuju finalne zone i estimacija verovatnoće pripadnosti piksela (315, 316) zonama na osnovu lokalnih histograma entiteta matrica (311, 312, 313).</description><subject>AGRICULTURE</subject><subject>ANIMAL HUSBANDRY</subject><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>FERTILISING</subject><subject>FISHING</subject><subject>FORESTRY</subject><subject>GYROSCOPIC INSTRUMENTS</subject><subject>HUMAN NECESSITIES</subject><subject>HUNTING</subject><subject>MEASURING</subject><subject>MEASURING DISTANCES, LEVELS OR BEARINGS</subject><subject>NAVIGATION</subject><subject>PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES ORIMPLEMENTS, IN GENERAL</subject><subject>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</subject><subject>PHYSICS</subject><subject>PLANTING</subject><subject>SOIL WORKING IN AGRICULTURE OR FORESTRY</subject><subject>SOWING</subject><subject>SURVEYING</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><subject>TESTING</subject><subject>TRAPPING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNAPjgwOcfVVcPRzUfB1DfHwd1Fw8w9S8PQLcfXx8XR39QtRCPb39FEIdvQN8PH0c-dhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfFBwUYGRgYGFobmjobGxKgBAA0wJhk</recordid><startdate>20220131</startdate><enddate>20220131</enddate><creator>BRDAR, SANJA</creator><creator>BIRGERMAJER, SLOBODAN</creator><creator>CRNOJEVIĆ, VLADIMIR</creator><creator>ČABA, PETEŠ</creator><creator>KRKLJEŠ, DAMIR</creator><creator>KITIĆ, GORAN</creator><creator>PANIĆ, MARKO</creator><scope>EVB</scope></search><sort><creationdate>20220131</creationdate><title>SYSTEM AND METHOD FOR INTELLIGENT SOIL SAMPLING</title><author>BRDAR, SANJA ; BIRGERMAJER, SLOBODAN ; CRNOJEVIĆ, VLADIMIR ; ČABA, PETEŠ ; KRKLJEŠ, DAMIR ; KITIĆ, GORAN ; PANIĆ, MARKO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_RS20200817A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; srp</language><creationdate>2022</creationdate><topic>AGRICULTURE</topic><topic>ANIMAL HUSBANDRY</topic><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>FERTILISING</topic><topic>FISHING</topic><topic>FORESTRY</topic><topic>GYROSCOPIC INSTRUMENTS</topic><topic>HUMAN NECESSITIES</topic><topic>HUNTING</topic><topic>MEASURING</topic><topic>MEASURING DISTANCES, LEVELS OR BEARINGS</topic><topic>NAVIGATION</topic><topic>PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES ORIMPLEMENTS, IN GENERAL</topic><topic>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</topic><topic>PHYSICS</topic><topic>PLANTING</topic><topic>SOIL WORKING IN AGRICULTURE OR FORESTRY</topic><topic>SOWING</topic><topic>SURVEYING</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><topic>TESTING</topic><topic>TRAPPING</topic><toplevel>online_resources</toplevel><creatorcontrib>BRDAR, SANJA</creatorcontrib><creatorcontrib>BIRGERMAJER, SLOBODAN</creatorcontrib><creatorcontrib>CRNOJEVIĆ, VLADIMIR</creatorcontrib><creatorcontrib>ČABA, PETEŠ</creatorcontrib><creatorcontrib>KRKLJEŠ, DAMIR</creatorcontrib><creatorcontrib>KITIĆ, GORAN</creatorcontrib><creatorcontrib>PANIĆ, MARKO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>BRDAR, SANJA</au><au>BIRGERMAJER, SLOBODAN</au><au>CRNOJEVIĆ, VLADIMIR</au><au>ČABA, PETEŠ</au><au>KRKLJEŠ, DAMIR</au><au>KITIĆ, GORAN</au><au>PANIĆ, MARKO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>SYSTEM AND METHOD FOR INTELLIGENT SOIL SAMPLING</title><date>2022-01-31</date><risdate>2022</risdate><abstract>A system and method for intelligent soil sampling has for a novelty robotic system (100) that samples soil based on the generation of sampling points through advanced artificial intelligence algorithms. The robotic system (100) comprises a robotic platform (101) with sampling modules (102, 105, 108), which communicates with a server (111), that consists a localization module (113) containing artificial intelligence algorithms based on satellite images from multiple spectral channels and/or images from high-resolution drone for a given parcel (301), generates zones and determines the coordinates of points as the best representatives of the zones to take place efficiently and quickly sampling the land. Intelligent sampling takes place through several steps where the sampling limits are defined, so a mask is placed on a given plot, after which a pixel matrix with vegetation indices is formed, which is then normalized and K-mean algorithm in different spatial resolutions is worked on with calculation of probability that each pixel (315, 316) belongs to one of the K zones, taking into account its environment with a different number of pixels, where each pixel (315, 316) is associated with changes in spatial resolutions (311, 312, 313), diagonally (314), associated with new values of affiliation probabilities and finally in step (317) a consensus is reached where the final zones are determined and the probability of affiliation of pixels (315, 316) to zones is estimated based on local histograms of matrix entities (311, 312, 313).
Sistem i metod za inteligentno uzorkovanje zemljišta ima za novost robotski sistem (100) koji uzorkuje zemljište na bazi generisanja tačaka uzorkovanja putem naprednih algoritama veštačke inteligencije. Robotski sistem (100) sadrži robotsku platformu (101) sa modulima (102, 105, 108) za uzorkovanje, koja komunicira sa serverom (111), na kome se nalazi modul (113) za lokalizaciju koji sadrži algoritme veštačke inteligencije koji na osnovu satelitskih snimaka sa više spektralnih kanala i/ili snimaka sa drona visoke prostorne rezolucije za datu parcelu (301), generiše zone i određuje koordinate tačaka kao najbolje predstavnike zona da se odvija efikasno i brzo uzorkovanje zemljišta. Inteligentno uzorkovanje se odvija kroz nekoliko koraka gde se definišu granice uzorkovanja, pa se postavlja maska na datoj parceli, nakon čega se formira matrica piksela sa vegetacionim indeksima, koja se potom normira i nad njom se radi algoritam K-srednjih vrednosti u različitim prostornim rezolucijama nakon čega se računa verovatnoća da svaki piksel (315, 316) pripada jednoj od K zona, uzimajući u obzir njegovu okolinu sa različitim brojem piksela, pri čemu svaki piksel (315, 316) se izmenama prostornih rezolucija (311, 312, 313), po dijagonali (314), povezuje se sa novim vrednostima verovatnoća pripadnosti i na kraju se se u koraku (317) donosi konsenzus gde se određuju finalne zone i estimacija verovatnoće pripadnosti piksela (315, 316) zonama na osnovu lokalnih histograma entiteta matrica (311, 312, 313).</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | AGRICULTURE ANIMAL HUSBANDRY CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES FERTILISING FISHING FORESTRY GYROSCOPIC INSTRUMENTS HUMAN NECESSITIES HUNTING MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS NAVIGATION PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES ORIMPLEMENTS, IN GENERAL PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS PLANTING SOIL WORKING IN AGRICULTURE OR FORESTRY SOWING SURVEYING SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TESTING TRAPPING |
| title | SYSTEM AND METHOD FOR INTELLIGENT SOIL SAMPLING |
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