NL2029693B1 - Remote sensing prediction method for fragrant pear maturity period based on multi-source remote sensing data - Google Patents

Remote sensing prediction method for fragrant pear maturity period based on multi-source remote sensing data Download PDF

Info

Publication number
NL2029693B1
NL2029693B1 NL2029693A NL2029693A NL2029693B1 NL 2029693 B1 NL2029693 B1 NL 2029693B1 NL 2029693 A NL2029693 A NL 2029693A NL 2029693 A NL2029693 A NL 2029693A NL 2029693 B1 NL2029693 B1 NL 2029693B1
Authority
NL
Netherlands
Prior art keywords
remote sensing
data
crop
maturity period
crops
Prior art date
Application number
NL2029693A
Other languages
English (en)
Dutch (nl)
Other versions
NL2029693A (en
Inventor
Lv Xifeng
Liu Yiting
Li Xu
Bai Tiecheng
Original Assignee
Univ Tarim
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 Univ Tarim filed Critical Univ Tarim
Publication of NL2029693A publication Critical patent/NL2029693A/en
Application granted granted Critical
Publication of NL2029693B1 publication Critical patent/NL2029693B1/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • 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
    • A01GHORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G17/00Cultivation of hops, vines, fruit trees, or like trees
    • A01G17/005Cultivation methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Forestry; Mining
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/30Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/33Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
    • G06T7/337Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving reference images or patches
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30181Earth observation
    • G06T2207/30188Vegetation; Agriculture

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Strategic Management (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Marketing (AREA)
  • General Health & Medical Sciences (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Health & Medical Sciences (AREA)
  • General Business, Economics & Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Multimedia (AREA)
  • Game Theory and Decision Science (AREA)
  • Agronomy & Crop Science (AREA)
  • Animal Husbandry (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Mining & Mineral Resources (AREA)
  • Primary Health Care (AREA)
  • Botany (AREA)
  • Environmental Sciences (AREA)
  • Development Economics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
NL2029693A 2021-04-08 2021-11-09 Remote sensing prediction method for fragrant pear maturity period based on multi-source remote sensing data NL2029693B1 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110378891.4A CN113269716A (zh) 2021-04-08 2021-04-08 一种基于多源遥感数据的香梨成熟期遥感预测方法

Publications (2)

Publication Number Publication Date
NL2029693A NL2029693A (en) 2022-10-19
NL2029693B1 true NL2029693B1 (en) 2023-02-15

Family

ID=77228537

Family Applications (1)

Application Number Title Priority Date Filing Date
NL2029693A NL2029693B1 (en) 2021-04-08 2021-11-09 Remote sensing prediction method for fragrant pear maturity period based on multi-source remote sensing data

Country Status (2)

Country Link
CN (1) CN113269716A (zh)
NL (1) NL2029693B1 (zh)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114510528B (zh) * 2022-02-15 2023-11-17 平安科技(深圳)有限公司 农作物产量展示方法、装置电子设备及存储介质
CN114782837B (zh) * 2022-06-17 2022-10-18 中化现代农业有限公司 种植物估产方法、装置、电子设备和存储介质
CN116227758B (zh) * 2023-05-10 2023-08-08 江西师范大学 基于遥感技术和深度学习的农产品成熟度预测方法及系统

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103345707A (zh) * 2013-06-04 2013-10-09 中国科学院遥感与数字地球研究所 一种基于多源遥感数据的农作物成熟期遥感预测方法
CN108985260B (zh) * 2018-08-06 2022-03-04 航天恒星科技有限公司 一种遥感及气象一体化水稻估产方法
CN109345555B (zh) * 2018-10-15 2020-08-25 中科卫星应用德清研究院 基于多时相多源遥感数据进行水稻识别的方法
CN110348314B (zh) * 2019-06-14 2021-07-30 中国资源卫星应用中心 一种利用多源遥感数据监测植被长势的方法及系统
CN110751094B (zh) * 2019-10-21 2020-08-28 北京师范大学 一种基于gee综合遥感影像和深度学习方法的作物估产方法
CN111931988A (zh) * 2020-07-09 2020-11-13 黑龙江省农业科学院农业遥感与信息研究所 遥感影像、作物模型与气象预报融合水稻成熟期预测方法

Also Published As

Publication number Publication date
NL2029693A (en) 2022-10-19
CN113269716A (zh) 2021-08-17

Similar Documents

Publication Publication Date Title
NL2029693B1 (en) Remote sensing prediction method for fragrant pear maturity period based on multi-source remote sensing data
Fan et al. The future of Internet of Things in agriculture: Plant high-throughput phenotypic platform
Tayari et al. Role of GPS and GIS in precision agriculture
Cunha et al. Very early prediction of wine yield based on satellite data from VEGETATION
CN110110595B (zh) 一种基于卫星遥感影像的农田画像及药肥大数据分析方法
Chen et al. Predicting individual apple tree yield using UAV multi-source remote sensing data and ensemble learning
CN111368736A (zh) 基于sar和光学遥感数据的水稻精细化估产方法
CN110378926B (zh) 一种基于机载LiDAR和Sentinel-2A数据的地上植被生态水估算方法
CN113657158B (zh) 基于Google Earth Engine的大尺度大豆种植区域提取算法
Rodrigues et al. Monitoring vegetation dynamics inferred by satellite data using the PhenoSat tool
CN118364975B (zh) 多源数据驱动混合机理学习模型的小麦产量预测方法
Dong et al. A phenology-based method for identifying the planting fraction of winter wheat using moderate-resolution satellite data
Hussain et al. A systematic review on crop-yield prediction through unmanned aerial vehicles
CN117037002A (zh) 基于无人机多源遥感的棉花产量估算模型构建方法
Xiong Crop growth remote sensing monitoring and its application
Tong et al. An image-based system for locating pruning points in apple trees using instance segmentation and RGB-D images
US20230121145A1 (en) Method of introducing ecosystem and method of managing value information about land
Park et al. Determination on environmental factors and growth factors affecting tomato yield using pattern recognition techniques
Luo et al. Identification of pests and diseases of Dalbergia hainanensis based on EVI time series and classification of decision tree
CN113640230B (zh) 一种田间小麦水分利用率快速检测方法及系统
Fondaj et al. Proposal of Prediction Model for Smart Agriculture Based on IoT Sensor Data
CN117726902B (zh) 一种基于Sentinel2时序曲线分布的大豆样本生成方法和系统
Rusev et al. Imaging in a Smart Agriculture Platform
Chanev et al. REVIEW OF THE APPLICATIONS OF SATELLITE REMOTE SENSING IN ORGANIC FARMING–PART II
Di Gennaro et al. Prediction of Yield Spatial Variability within Vineyard Based on DIGIVIT Mobile App