AR117511A1 - Pronóstico del nivel de rendimiento de campos en estación - Google Patents
Pronóstico del nivel de rendimiento de campos en estaciónInfo
- Publication number
- AR117511A1 AR117511A1 ARP190103860A ARP190103860A AR117511A1 AR 117511 A1 AR117511 A1 AR 117511A1 AR P190103860 A ARP190103860 A AR P190103860A AR P190103860 A ARP190103860 A AR P190103860A AR 117511 A1 AR117511 A1 AR 117511A1
- Authority
- AR
- Argentina
- Prior art keywords
- agricultural
- field
- spectral band
- intensity values
- processed
- Prior art date
Links
- 230000003595 spectral effect Effects 0.000 abstract 5
- 230000005670 electromagnetic radiation Effects 0.000 abstract 1
- 238000010801 machine learning Methods 0.000 abstract 1
Classifications
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- 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"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/143—Sensing or illuminating at different wavelengths
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/13—Satellite images
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/188—Vegetation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/004—Artificial life, i.e. computing arrangements simulating life
- G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/12—Computing arrangements based on biological models using genetic models
- G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/194—Terrestrial scenes using hyperspectral data, i.e. more or other wavelengths than RGB
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Multimedia (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Software Systems (AREA)
- Quality & Reliability (AREA)
- Primary Health Care (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Life Sciences & Earth Sciences (AREA)
- Agronomy & Crop Science (AREA)
- Animal Husbandry (AREA)
- Marine Sciences & Fisheries (AREA)
- Mining & Mineral Resources (AREA)
- Remote Sensing (AREA)
- Astronomy & Astrophysics (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
En una realización, se reciben imágenes digitales de campos agrícolas en un sistema de procesamiento agrícola inteligente. Cada campo agrícola está representado por una o más imágenes digitales obtenidas durante la estación o en diferentes estaciones de plantación. Cada imagen digital de un campo agrícola incluye un grupo de píxeles que tienen valores de píxel, cada valor de píxel de un píxel incluye una pluralidad de valores de intensidad de banda espectral y cada valor de intensidad de banda espectral describe una intensidad de banda espectral de una banda de entre varias bandas de radiación electromagnética. Para cada uno de los campos agrícolas, se preprocesan los valores de intensidad de banda espectral de cada banda al nivel del campo, utilizando las imágenes digitales para ese campo agrícola, de lo que derivan resultados valores de intensidad preprocesados. Los valores de intensidad preprocesados se almacenan y los valores de intensidad de banda espectral preprocesados y almacenados para cada campo agrícola se proporcionan como datos de entrada para un modelo de aprendizaje automático capacitado. El modelo genera un valor de rendimiento previsto para cada campo. El valor de rendimiento previsto se usa para actualizar los mapas de rendimiento de los campos agrícolas para hacer pronósticos y puede mostrarse mediante una interfaz gráfica del usuario (IGU) de un dispositivo electrónico del cliente.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201862784252P | 2018-12-21 | 2018-12-21 |
Publications (1)
Publication Number | Publication Date |
---|---|
AR117511A1 true AR117511A1 (es) | 2021-08-11 |
Family
ID=71098490
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
ARP190103860A AR117511A1 (es) | 2018-12-21 | 2019-12-23 | Pronóstico del nivel de rendimiento de campos en estación |
Country Status (8)
Country | Link |
---|---|
US (1) | US11574465B2 (es) |
EP (1) | EP3899785A4 (es) |
CN (1) | CN113196287A (es) |
AR (1) | AR117511A1 (es) |
AU (1) | AU2019401506A1 (es) |
BR (1) | BR112021010122A2 (es) |
CA (1) | CA3120299A1 (es) |
WO (1) | WO2020132674A1 (es) |
Families Citing this family (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11037343B2 (en) * | 2018-05-11 | 2021-06-15 | The Climate Corporation | Digital visualization of periodically updated in-season agricultural fertility prescriptions |
US11653588B2 (en) | 2018-10-26 | 2023-05-23 | Deere & Company | Yield map generation and control system |
US11957072B2 (en) | 2020-02-06 | 2024-04-16 | Deere & Company | Pre-emergence weed detection and mitigation system |
US11641800B2 (en) | 2020-02-06 | 2023-05-09 | Deere & Company | Agricultural harvesting machine with pre-emergence weed detection and mitigation system |
US11589509B2 (en) | 2018-10-26 | 2023-02-28 | Deere & Company | Predictive machine characteristic map generation and control system |
US11672203B2 (en) | 2018-10-26 | 2023-06-13 | Deere & Company | Predictive map generation and control |
USD927534S1 (en) * | 2019-03-25 | 2021-08-10 | Valmont Industries, Inc. | Display screen or portion thereof with graphical user interface |
US10970852B2 (en) * | 2019-04-01 | 2021-04-06 | Alloy Surfaces Company, Inc. | Systems and methods for multi-signature countermeasure testing |
US20210243936A1 (en) * | 2020-02-06 | 2021-08-12 | Deere & Company | Predictive weed map generation and control system |
US20230108969A1 (en) * | 2020-03-09 | 2023-04-06 | Nitto Denko Corporation | Abnormality detecting system |
US11556563B2 (en) * | 2020-06-12 | 2023-01-17 | Oracle International Corporation | Data stream processing |
US11295331B2 (en) * | 2020-07-01 | 2022-04-05 | X Development Llc | Analyzing crop fields based on agricultural management practices |
MX2023000724A (es) * | 2020-07-16 | 2023-02-13 | Climate Llc | Prediccion del rendimiento horticolas de la ubicacion de un campo mediante imagenes aereas multibanda. |
US11666004B2 (en) * | 2020-10-02 | 2023-06-06 | Ecoation Innovative Solutions Inc. | System and method for testing plant genotype and phenotype expressions under varying growing and environmental conditions |
EP3979193A1 (en) * | 2020-10-02 | 2022-04-06 | Sensilize Ltd | System for evaluating and monitoring plants |
US20220104437A1 (en) * | 2020-10-02 | 2022-04-07 | Ecoation Innovative Solutions Inc. | Reduction of time of day variations in plant-related data measurements |
US20220107297A1 (en) * | 2020-10-02 | 2022-04-07 | Ecoation Innovative Solutions Inc. | Platform for real-time identification and resolution of spatial production anomalies in agriculture |
WO2022106302A1 (en) | 2020-11-20 | 2022-05-27 | Bayer Aktiengesellschaft | Representation learning |
US11663192B2 (en) | 2020-12-10 | 2023-05-30 | Oracle International Corporation | Identifying and resolving differences between datastores |
US20240070440A1 (en) | 2021-03-05 | 2024-02-29 | Bayer Aktiengesellschaft | Multimodal representation learning |
EP4116897A1 (en) | 2021-07-06 | 2023-01-11 | Enrique Menotti Pescarmona | Process and system of management and analysis for agricultural production |
EP4381421A1 (en) | 2021-08-02 | 2024-06-12 | Bayer Aktiengesellschaft | Similarity retrieval |
KR102457893B1 (ko) * | 2021-12-02 | 2022-10-24 | 주식회사 에스아이에이 | 딥러닝 기반의 강수량 예측 방법 |
US11861520B2 (en) * | 2022-03-31 | 2024-01-02 | Planet Watchers Ltd. | Crop monitoring system and method thereof |
US20240028957A1 (en) * | 2022-07-20 | 2024-01-25 | Tata Consultancy Services Limited | Methods and systems for high resolution and scalable crop yield forecasting |
CN115564145B (zh) * | 2022-11-17 | 2023-06-30 | 北京市农林科学院信息技术研究中心 | 基于分布式数据的农作物品种产量预测方法及装置 |
Family Cites Families (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9652691B2 (en) * | 2006-11-07 | 2017-05-16 | The Curators Of The University Of Missouri | Method of predicting crop yield loss due to N-deficiency |
US8064692B2 (en) * | 2008-12-24 | 2011-11-22 | Weyerhaeuser Nr Company | Automatic age classification of forest land |
CN101836561B (zh) * | 2010-03-08 | 2011-11-16 | 南京大学 | 一种海滨盐土蓖麻产量预测模型及其构建方法和应用 |
US9946931B2 (en) | 2015-04-20 | 2018-04-17 | Los Alamos National Security, Llc | Change detection and change monitoring of natural and man-made features in multispectral and hyperspectral satellite imagery |
US10667456B2 (en) * | 2014-09-12 | 2020-06-02 | The Climate Corporation | Methods and systems for managing agricultural activities |
US20170161560A1 (en) | 2014-11-24 | 2017-06-08 | Prospera Technologies, Ltd. | System and method for harvest yield prediction |
US9638678B2 (en) * | 2015-01-30 | 2017-05-02 | AgriSight, Inc. | System and method for crop health monitoring |
US11062223B2 (en) * | 2015-12-02 | 2021-07-13 | The Climate Corporation | Forecasting field level crop yield during a growing season |
US9721181B2 (en) * | 2015-12-07 | 2017-08-01 | The Climate Corporation | Cloud detection on remote sensing imagery |
CN106915462A (zh) * | 2017-02-14 | 2017-07-04 | 福建兴宇信息科技有限公司 | 基于多源影像信息的林业病虫害智能识别系统 |
US20180330435A1 (en) * | 2017-05-11 | 2018-11-15 | Harvesting Inc. | Method for monitoring and supporting agricultural entities |
CN108414455B (zh) * | 2018-01-30 | 2020-11-06 | 阳光农业相互保险公司 | 用于农业保险理赔的农作物雹灾遥感监测方法 |
US10942113B2 (en) * | 2018-03-07 | 2021-03-09 | Emerald Metrics | Methods, systems, and components thereof relating to using multi-spectral imaging for improved cultivation of cannabis and other crops |
-
2019
- 2019-12-23 US US16/725,869 patent/US11574465B2/en active Active
- 2019-12-23 BR BR112021010122-5A patent/BR112021010122A2/pt unknown
- 2019-12-23 AR ARP190103860A patent/AR117511A1/es active IP Right Grant
- 2019-12-23 CN CN201980084807.9A patent/CN113196287A/zh active Pending
- 2019-12-23 EP EP19901397.0A patent/EP3899785A4/en active Pending
- 2019-12-23 AU AU2019401506A patent/AU2019401506A1/en active Pending
- 2019-12-23 WO PCT/US2019/068306 patent/WO2020132674A1/en unknown
- 2019-12-23 CA CA3120299A patent/CA3120299A1/en active Pending
Also Published As
Publication number | Publication date |
---|---|
AU2019401506A1 (en) | 2021-07-15 |
EP3899785A4 (en) | 2022-08-10 |
CA3120299A1 (en) | 2020-06-25 |
US11574465B2 (en) | 2023-02-07 |
US20200202127A1 (en) | 2020-06-25 |
WO2020132674A1 (en) | 2020-06-25 |
EP3899785A1 (en) | 2021-10-27 |
CN113196287A (zh) | 2021-07-30 |
BR112021010122A2 (pt) | 2021-08-24 |
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Legal Events
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