BR112015031241A2 - sistema de previsão de colheita - Google Patents

sistema de previsão de colheita

Info

Publication number
BR112015031241A2
BR112015031241A2 BR112015031241A BR112015031241A BR112015031241A2 BR 112015031241 A2 BR112015031241 A2 BR 112015031241A2 BR 112015031241 A BR112015031241 A BR 112015031241A BR 112015031241 A BR112015031241 A BR 112015031241A BR 112015031241 A2 BR112015031241 A2 BR 112015031241A2
Authority
BR
Brazil
Prior art keywords
agricultural land
research
measured
select
much
Prior art date
Application number
BR112015031241A
Other languages
English (en)
Other versions
BR112015031241B8 (pt
BR112015031241B1 (pt
Inventor
Kazama Yoriko
Kitano Yu
Original Assignee
Hitachi Ltd
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 Hitachi Ltd filed Critical Hitachi Ltd
Publication of BR112015031241A2 publication Critical patent/BR112015031241A2/pt
Publication of BR112015031241B1 publication Critical patent/BR112015031241B1/pt
Publication of BR112015031241B8 publication Critical patent/BR112015031241B8/pt

Links

Classifications

    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G7/00—Botany in general
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Forestry; Mining

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • Health & Medical Sciences (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Health & Medical Sciences (AREA)
  • Mining & Mineral Resources (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Animal Husbandry (AREA)
  • Agronomy & Crop Science (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Primary Health Care (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Botany (AREA)
  • Ecology (AREA)
  • Forests & Forestry (AREA)
  • Environmental Sciences (AREA)
  • Image Processing (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

1 / 1 resumo “sistema de previsãƒo de colheitaâ€� limitando, quanto possã­vel, o nãºmero de campo de pesquisa, o presente inventã¡rio estima a colheita com alta precisã£o, utilizando as imagens aã©reas e os dados temporais de sã©rie cronolã³gica na etapa especial de crescimento do produto agrã­cola. um grupo de parã¢metros serve para determinar os critã©rios de avaliaã§ã£o para selecionar os terrenos agrã­colas medidos que devem pesquisar-se, utlizando as imagens de regiã£o de pesquisa acumuladas anteriormente, as informaã§ãµes sobre caracterã­stica do campo e as imagens aã©reas de campo de pesquisa. seleccionar os terrenos agrã­colas medidos com o modo de abranger o mã¡ximo a dispersã£o nas sã©ries de parã¢metros referidos, alã©m disso, selecionar os candidatos dos terrenos agrã­colas medidos concentrando nasua localidade a fim de reduzir os cargos de pesquisa tanto o possã­vel. no entanto, analisar os padrãµes das sã©ries cronolã³gicas dos dados meteorolã³gicos em cada etapa de crescimento, calculando os grupos de parã¢metros relacionados pelas condiã§ãµes de crescimento, e realizar a estimaã§ã£o da colheita em conjunto com a quantidade de caracterã­stica da imagem, as informaã§ãµes sobre caracterã­sticas de terrenos agrã­colas e os grupos de parã¢metros referidos como as variã¡veis explicativas.
BR112015031241A 2013-06-18 2014-05-19 sistema e dispositivo de previsão de colheitas BR112015031241B8 (pt)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
JP2013127094A JP6147579B2 (ja) 2013-06-18 2013-06-18 収量予測システムおよび収量予測装置
JP2013-127094 2013-06-18
PCT/JP2014/063150 WO2014203664A1 (ja) 2013-06-18 2014-05-19 収量予測システムおよび収量予測装置

Publications (3)

Publication Number Publication Date
BR112015031241A2 true BR112015031241A2 (pt) 2017-07-25
BR112015031241B1 BR112015031241B1 (pt) 2020-07-07
BR112015031241B8 BR112015031241B8 (pt) 2020-07-28

Family

ID=52104406

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112015031241A BR112015031241B8 (pt) 2013-06-18 2014-05-19 sistema e dispositivo de previsão de colheitas

Country Status (3)

Country Link
JP (1) JP6147579B2 (pt)
BR (1) BR112015031241B8 (pt)
WO (1) WO2014203664A1 (pt)

Families Citing this family (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6285875B2 (ja) * 2015-01-06 2018-02-28 株式会社日立製作所 植物成長分析システム、及び植物成長分析方法
US10028426B2 (en) 2015-04-17 2018-07-24 360 Yield Center, Llc Agronomic systems, methods and apparatuses
CN104914828A (zh) * 2015-04-22 2015-09-16 柳州易农科技有限公司 用于农业的智能系统
WO2016200699A1 (en) * 2015-06-08 2016-12-15 Precision Planting Llc Agricultural data analysis
US10312986B2 (en) * 2015-08-19 2019-06-04 Intel Corporation Flexible CSI RS configuration for FD-MIMO systems
US11062223B2 (en) * 2015-12-02 2021-07-13 The Climate Corporation Forecasting field level crop yield during a growing season
JP6849958B2 (ja) * 2016-03-18 2021-03-31 国立大学法人東海国立大学機構 予測方法、予測プログラム、及び、予測装置
JP6639300B2 (ja) * 2016-03-24 2020-02-05 株式会社日立ソリューションズ東日本 農作物の正常株率推定装置、農作物の収穫量予測装置および農作物の正常株率推定方法
JP6679102B2 (ja) * 2016-03-25 2020-04-15 Ｎｅｃソリューションイノベータ株式会社 出荷数量予測装置、出荷数量予測方法、及びプログラム
JP6685856B2 (ja) * 2016-06-30 2020-04-22 株式会社日立製作所 農作業計画支援装置及び農作業計画支援方法
WO2018151196A1 (ja) * 2017-02-16 2018-08-23 Ｎｅｃソリューションイノベータ株式会社 作物生育の推定装置、作物生育の推定方法、プログラム、および記録媒体
JP6895680B2 (ja) * 2017-03-03 2021-06-30 国立研究開発法人農業・食品産業技術総合研究機構 作物の倒伏度評価装置及び作物の倒伏度評価方法
CN110892440A (zh) * 2017-07-18 2020-03-17 株式会社植物生命系统 信息处理装置、信息处理方法和程序
JP6333456B1 (ja) * 2017-08-30 2018-05-30 アビームコンサルティング株式会社 生産管理装置、生産管理方法及びプログラム
JP7125704B2 (ja) * 2018-05-01 2022-08-25 国立大学法人千葉大学 農業支援システム
US10891482B2 (en) 2018-07-10 2021-01-12 Adroit Robotics Systems, devices, and methods for in-field diagnosis of growth stage and crop yield estimation in a plant area
BR112021015314B1 (pt) * 2019-02-05 2022-09-27 Farmers Edge Inc Sistema e método de confirmação de colheita
EP3937098A1 (en) * 2019-03-08 2022-01-12 Assest Corporation Crop yield amount prediction program and cultivation environment assessment program
JP6704148B1 (ja) * 2019-03-08 2020-06-03 Ａｓｓｅｓｔ株式会社 農作物の収穫量予測プログラム及び農作物の品質予測プログラム
JP7081536B2 (ja) * 2019-03-12 2022-06-07 コニカミノルタ株式会社 作物の倒伏リスク診断に用いる生育パラメータの測定推奨スポット提示方法、倒伏リスク診断方法、および情報提供装置
JP7474031B2 (ja) 2019-03-29 2024-04-24 株式会社トプコン 圃場情報管理装置、圃場情報管理システム、圃場情報管理装置の制御方法及び圃場情報管理プログラム
JP7229864B2 (ja) * 2019-06-28 2023-02-28 株式会社日立製作所 リモートセンシング画像取得時期決定システム、および、作物生育状況分析方法
JP7191785B2 (ja) * 2019-06-28 2022-12-19 株式会社クボタ 農業支援装置
CN110443420B (zh) * 2019-08-05 2023-05-09 山东农业大学 一种基于机器学习的作物产量预测方法
JP7263200B2 (ja) * 2019-10-08 2023-04-24 ヤンマーパワーテクノロジー株式会社 農業ハウスの環境制御システム
WO2021157032A1 (ja) * 2020-02-06 2021-08-12 株式会社ナイルワークス 生育診断システム、生育診断サーバ及び生育診断方法
CN112348229A (zh) * 2020-10-12 2021-02-09 上海微亿智造科技有限公司 基于工业大数据的产品良品率预测方法和预测系统
WO2024018559A1 (ja) * 2022-07-20 2024-01-25 株式会社ファームシップ 出荷量予測方法及び出荷量予測システム
CN117575111B (zh) * 2024-01-16 2024-04-12 安徽农业大学 一种基于迁移学习的农业遥感图像时空序列预测方法

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001256289A (ja) * 2000-03-14 2001-09-21 Shigenao Daimatsu 農業および水産業用生産管理システム
JP2003006274A (ja) * 2001-06-25 2003-01-10 National Agricultural Research Organization 生育段階毎の気候的類似性に基づく導入適作物・適品種、栽培適地、適作期判定システム
JP4140052B2 (ja) * 2002-05-28 2008-08-27 株式会社サタケ 作物の生育診断方法における画像の補正方法
JP2005085059A (ja) * 2003-09-10 2005-03-31 Sec:Kk 農作業決定支援用予測システム
JP4873545B2 (ja) * 2006-05-16 2012-02-08 株式会社日立ソリューションズ 圃場管理支援方法及びシステム
JP2010166851A (ja) * 2009-01-22 2010-08-05 Chiharu Hongo 作物の収量予測方法及びその装置

Also Published As

Publication number Publication date
WO2014203664A1 (ja) 2014-12-24
JP6147579B2 (ja) 2017-06-14
BR112015031241B8 (pt) 2020-07-28
JP2015000049A (ja) 2015-01-05
BR112015031241B1 (pt) 2020-07-07

Similar Documents

Publication Publication Date Title
BR112015031241A2 (pt) sistema de previsão de colheita
Fawcett et al. Unmanned aerial vehicle (UAV) derived structure-from-motion photogrammetry point clouds for oil palm (Elaeis guineensis) canopy segmentation and height estimation
Froidevaux et al. From field surveys to LiDAR: Shining a light on how bats respond to forest structure
Silva et al. A spatially explicit approach to assess the collision risk between birds and overhead power lines: a case study with the little bustard
Zakkak et al. The impact of forest encroachment after agricultural land abandonment on passerine bird communities: The case of Greece
Rees Impacts of wind farms on swans and geese: a review
Scarpa et al. The use of drones for conservation: A methodological tool to survey caimans nests density
Romano et al. Conservation of salamanders in managed forests: Methods and costs of monitoring abundance and habitat selection
O’Keefe et al. Macrohabitat factors affect day roost selection by eastern red bats and eastern pipistrelles in the southern Appalachian Mountains, USA
Jesse et al. Landscape characteristics related to use of artificial roosts by northern long-eared bats in north-central West Virginia
Palacin et al. The importance of traditional farmland areas for steppe birds: a case study of migrant female Great Bustards Otis tarda in Spain
Nekaris et al. Densities, distribution and detectability of a small nocturnal primate (Javan slow loris Nycticebus javanicus) in a montane rainforest
Fernández-Rodríguez et al. Understanding hourly patterns of Olea pollen concentrations as tool for the environmental impact assessment
Pendoley et al. Twenty years of turtle tracks: marine turtle nesting activity at remote locations in the Pilbara, Western Australia
Marcelino et al. Flight altitudes of a soaring bird suggest landfill sites as power line collision hotspots
Vrtiska et al. Estimates of duck breeding populations in the Nebraska Sandhills using double observer methodology
Wijaya et al. Spatial Model of Deforestation in Jambi Province for The Periode 1990-2011.
Essens et al. Mapping Lepidoptera and plant alpha-diversity across a heterogeneous tropical dry forest using field and remotely sensed data with spatial interpolation
Natusch et al. Distribution, abundance and demography of green pythons (Morelia viridis) in Cape York Peninsula, Australia
Soanes et al. Radio-collared squirrel glider (Petaurus norfolcensis) struck by vehicle and transported 500 km along freeway
Brenninkmeijer et al. Bird mortality in two Dutch wind farms: Effects of location, spatial design and interactions with powerlines
He et al. Recent advances and challenges in monitoring and modeling of disturbances in tropical moist forests
Gao et al. Validation of MODIS vegetation continuous fields in two areas in Mexico
Yao et al. Object oriented extraction of reserve resources area for cultivated land using RapidEye image data
Nakajima et al. A growth prediction system for local stand volume derived from lidar data

Legal Events

Date Code Title Description
B06F Objections, documents and/or translations needed after an examination request according [chapter 6.6 patent gazette]
B06T Formal requirements before examination [chapter 6.20 patent gazette]
B09A Decision: intention to grant [chapter 9.1 patent gazette]
B16A Patent or certificate of addition of invention granted [chapter 16.1 patent gazette]

Free format text: PRAZO DE VALIDADE: 20 (VINTE) ANOS CONTADOS A PARTIR DE 19/05/2014, OBSERVADAS AS CONDICOES LEGAIS.

B16C Correction of notification of the grant [chapter 16.3 patent gazette]

Free format text: REF. RPI 2583 DE 07/07/2020 QUANTO AO ENDERECO.

B21F Lapse acc. art. 78, item iv - on non-payment of the annual fees in time

Free format text: REFERENTE A 8A ANUIDADE.

B24J Lapse because of non-payment of annual fees (definitively: art 78 iv lpi, resolution 113/2013 art. 12)

Free format text: EM VIRTUDE DA EXTINCAO PUBLICADA NA RPI 2671 DE 15-03-2022 E CONSIDERANDO AUSENCIA DE MANIFESTACAO DENTRO DOS PRAZOS LEGAIS, INFORMO QUE CABE SER MANTIDA A EXTINCAO DA PATENTE E SEUS CERTIFICADOS, CONFORME O DISPOSTO NO ARTIGO 12, DA RESOLUCAO 113/2013.