RS20200817A1 - Sistem i metod za inteligentno uzorkovanje zemljišta - Google Patents

Sistem i metod za inteligentno uzorkovanje zemljišta

Info

Publication number
RS20200817A1
RS20200817A1 RS20200817A RSP20200817A RS20200817A1 RS 20200817 A1 RS20200817 A1 RS 20200817A1 RS 20200817 A RS20200817 A RS 20200817A RS P20200817 A RSP20200817 A RS P20200817A RS 20200817 A1 RS20200817 A1 RS 20200817A1
Authority
RS
Serbia
Prior art keywords
sampling
zones
pixel
intelligent
pixels
Prior art date
Application number
RS20200817A
Other languages
English (en)
Inventor
Goran Dr Kitić
Marko Dr Panić
Sanja Dr Brdar
Vladimir Dr Crnojević
Damir Krklješ
Peteš Čaba
Slobodan Birgermajer
Original Assignee
Inst Biosens Istrazivacko Razvojni Inst Za Informacione Tehnologije Biosistema
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Inst Biosens Istrazivacko Razvojni Inst Za Informacione Tehnologije Biosistema filed Critical Inst Biosens Istrazivacko Razvojni Inst Za Informacione Tehnologije Biosistema
Priority to RS20200817A priority Critical patent/RS20200817A1/sr
Priority to PCT/RS2021/000010 priority patent/WO2022010372A1/en
Priority to US18/014,150 priority patent/US20230255133A1/en
Publication of RS20200817A1 publication Critical patent/RS20200817A1/sr

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00Sampling; Preparing specimens for investigation
    • G01N1/02Devices for withdrawing samples
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01BSOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL
    • A01B79/00Methods for working soil
    • A01B79/02Methods for working soil combined with other agricultural processing, e.g. fertilising, planting
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/24Earth materials
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/24Earth materials
    • G01N33/245Earth materials for agricultural purposes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • G06V20/188Vegetation
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01BSOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL
    • A01B79/00Methods for working soil
    • A01B79/005Precision agriculture
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01CPLANTING; SOWING; FERTILISING
    • A01C21/00Methods of fertilising, sowing or planting
    • A01C21/007Determining fertilization requirements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00Sampling; Preparing specimens for investigation
    • G01N1/28Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
    • G01N1/38Diluting, dispersing or mixing samples
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00Sampling; Preparing specimens for investigation
    • G01N1/02Devices for withdrawing samples
    • G01N2001/021Correlating sampling sites with geographical information, e.g. GPS

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Biochemistry (AREA)
  • Immunology (AREA)
  • Analytical Chemistry (AREA)
  • Pathology (AREA)
  • Environmental Sciences (AREA)
  • Soil Sciences (AREA)
  • Mechanical Engineering (AREA)
  • Geology (AREA)
  • Environmental & Geological Engineering (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Food Science & Technology (AREA)
  • Remote Sensing (AREA)
  • Medicinal Chemistry (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Image Processing (AREA)

Abstract

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).
RS20200817A 2020-07-10 2020-07-10 Sistem i metod za inteligentno uzorkovanje zemljišta RS20200817A1 (sr)

Priority Applications (3)

Application Number Priority Date Filing Date Title
RS20200817A RS20200817A1 (sr) 2020-07-10 2020-07-10 Sistem i metod za inteligentno uzorkovanje zemljišta
PCT/RS2021/000010 WO2022010372A1 (en) 2020-07-10 2021-07-08 System and method for intelligent soil sampling
US18/014,150 US20230255133A1 (en) 2020-07-10 2021-07-08 System and method for intelligent soil sampling

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
RS20200817A RS20200817A1 (sr) 2020-07-10 2020-07-10 Sistem i metod za inteligentno uzorkovanje zemljišta

Publications (1)

Publication Number Publication Date
RS20200817A1 true RS20200817A1 (sr) 2022-01-31

Family

ID=77911108

Family Applications (1)

Application Number Title Priority Date Filing Date
RS20200817A RS20200817A1 (sr) 2020-07-10 2020-07-10 Sistem i metod za inteligentno uzorkovanje zemljišta

Country Status (3)

Country Link
US (1) US20230255133A1 (sr)
RS (1) RS20200817A1 (sr)
WO (1) WO2022010372A1 (sr)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114742855B (zh) * 2022-04-11 2023-06-30 电子科技大学 一种融合阈值分割与图像叠加技术的半自动图像标签方法
CN114819751B (zh) * 2022-06-24 2022-09-20 广东省农业科学院农业质量标准与监测技术研究所 一种农产品产地环境风险诊断方法及系统
WO2024019632A1 (ru) * 2022-07-22 2024-01-25 Публичное Акционерное Общество "Сбербанк России" Устройство и способ определения урожайности сельскохозяйственных культур
WO2024050343A1 (en) 2022-09-02 2024-03-07 Danisco Us Inc. Subtilisin variants and methods related thereto
WO2024050339A1 (en) 2022-09-02 2024-03-07 Danisco Us Inc. Mannanase variants and methods of use
WO2024050346A1 (en) 2022-09-02 2024-03-07 Danisco Us Inc. Detergent compositions and methods related thereto
CN115310719B (zh) * 2022-09-16 2023-04-18 中国科学院地理科学与资源研究所 基于三阶段k-means的农田土壤采样方案设计方法
WO2024085780A1 (ru) * 2022-10-17 2024-04-25 Публичное Акционерное Общество "Сбербанк России" Устройство и способ определения видов сельскохозяйственных культур
CN115493658B (zh) * 2022-11-21 2023-03-28 浙江省通信产业服务有限公司 一种野外地理信息数据采集装置及方法
CN117115669B (zh) * 2023-10-25 2024-03-15 中交第二公路勘察设计研究院有限公司 双条件质量约束的对象级地物样本自适应生成方法及系统

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7610122B2 (en) 2005-08-16 2009-10-27 Deere & Company Mobile station for an unmanned vehicle
US10492361B2 (en) * 2013-05-26 2019-12-03 360 Yield Center, Llc Apparatus, system and method for generating crop nutrient prescriptions
US9924629B2 (en) 2013-06-21 2018-03-27 Appareo Systems, Llc Method and system for optimizing planting operations
JP2016049102A (ja) * 2014-08-29 2016-04-11 株式会社リコー 圃場管理システム、圃場管理方法、プログラム
US10667456B2 (en) 2014-09-12 2020-06-02 The Climate Corporation Methods and systems for managing agricultural activities
US11113649B2 (en) 2014-09-12 2021-09-07 The Climate Corporation Methods and systems for recommending agricultural activities
US20160232621A1 (en) 2015-02-06 2016-08-11 The Climate Corporation Methods and systems for recommending agricultural activities
US9813512B2 (en) * 2015-04-20 2017-11-07 Agverdict, Inc. Systems and methods for efficiently generating a geospatial data map for use in agricultural operations
US20170042081A1 (en) * 2015-08-10 2017-02-16 360 Yield Center, Llc Systems, methods and apparatuses associated with soil sampling
BR112019007680A2 (pt) 2016-10-24 2019-07-02 Agco Int Gmbh mapeamento terrestre e sistema de guia

Also Published As

Publication number Publication date
WO2022010372A1 (en) 2022-01-13
US20230255133A1 (en) 2023-08-17

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