BR112023019283A2 - Método implementado por computador para prever danos de plantas de cultura, produto de programa de computador e sistema de computador - Google Patents
Método implementado por computador para prever danos de plantas de cultura, produto de programa de computador e sistema de computadorInfo
- Publication number
- BR112023019283A2 BR112023019283A2 BR112023019283A BR112023019283A BR112023019283A2 BR 112023019283 A2 BR112023019283 A2 BR 112023019283A2 BR 112023019283 A BR112023019283 A BR 112023019283A BR 112023019283 A BR112023019283 A BR 112023019283A BR 112023019283 A2 BR112023019283 A2 BR 112023019283A2
- Authority
- BR
- Brazil
- Prior art keywords
- computer
- data
- crop plants
- damage
- implemented method
- Prior art date
Links
- 244000038559 crop plants Species 0.000 title abstract 5
- 238000000034 method Methods 0.000 title abstract 3
- 238000004590 computer program Methods 0.000 title abstract 2
- 238000013528 artificial neural network Methods 0.000 abstract 2
- 239000002028 Biomass Substances 0.000 abstract 1
- 241000196324 Embryophyta Species 0.000 abstract 1
- 241000221662 Sclerotinia Species 0.000 abstract 1
- 230000007613 environmental effect Effects 0.000 abstract 1
- 238000012544 monitoring process Methods 0.000 abstract 1
- 239000002689 soil Substances 0.000 abstract 1
Classifications
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
- G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
-
- 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
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Animal Husbandry (AREA)
- Agronomy & Crop Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Marine Sciences & Fisheries (AREA)
- Mining & Mineral Resources (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
método implementado por computador para prever danos de plantas de cultura, produto de programa de computador e sistema de computador. um computador prevê danos a plantas de cultura (110) em uma área geográfica específica (100), causados por fungos esclerotinia. o computador recebe dados de condição atual (202) em forma de séries temporais, coletados durante um intervalo de monitoramento. os dados de condição atual (202) compreendem dados de planta com um identificador de uma espécie de planta de cultura particular, o identificador de plantas de cultura cultivadas anteriormente e dados de biomassa; bem como ambiental com dados meteorológicos e com dados de umidade do solo. o computador processa os dados de condição atual (202) por uma rede neural artificial (472) e fornece dados de danos previstos (302). a rede neural artificial (472) foi previamente treinada por uma combinação de dados históricos de condição na forma de séries temporais para a área geográfica específica (100) e dados históricos de danos em forma de anotações de especialistas.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP21165393 | 2021-03-26 | ||
PCT/EP2022/057729 WO2022200484A1 (en) | 2021-03-26 | 2022-03-24 | Predicting damage caused by fungal infection relating to crop plants of a particular species |
Publications (1)
Publication Number | Publication Date |
---|---|
BR112023019283A2 true BR112023019283A2 (pt) | 2023-10-24 |
Family
ID=75252508
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
BR112023019283A BR112023019283A2 (pt) | 2021-03-26 | 2022-03-24 | Método implementado por computador para prever danos de plantas de cultura, produto de programa de computador e sistema de computador |
Country Status (5)
Country | Link |
---|---|
US (1) | US20240169452A1 (pt) |
EP (1) | EP4315195A1 (pt) |
BR (1) | BR112023019283A2 (pt) |
CA (1) | CA3213366A1 (pt) |
WO (1) | WO2022200484A1 (pt) |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20210183513A1 (en) * | 2017-10-27 | 2021-06-17 | National Chiao Tung University | Method and system for disease prediction and control |
US10957036B2 (en) * | 2019-05-17 | 2021-03-23 | Ceres Imaging, Inc. | Methods and systems for crop pest management utilizing geospatial images and microclimate data |
-
2022
- 2022-03-24 BR BR112023019283A patent/BR112023019283A2/pt unknown
- 2022-03-24 EP EP22716963.8A patent/EP4315195A1/en not_active Withdrawn
- 2022-03-24 CA CA3213366A patent/CA3213366A1/en active Pending
- 2022-03-24 WO PCT/EP2022/057729 patent/WO2022200484A1/en active Application Filing
- 2022-03-24 US US18/282,602 patent/US20240169452A1/en active Pending
Also Published As
Publication number | Publication date |
---|---|
EP4315195A1 (en) | 2024-02-07 |
CA3213366A1 (en) | 2022-09-29 |
WO2022200484A1 (en) | 2022-09-29 |
US20240169452A1 (en) | 2024-05-23 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Fayle et al. | Whole-ecosystem experimental manipulations of tropical forests | |
Knapp et al. | A test of two mechanisms proposed to optimize grassland aboveground primary productivity in response to grazing | |
Li et al. | Impact of climate change and crop management on cotton phenology based on statistical analysis in the main-cotton-planting areas of China | |
Macaulay | Land degradation in Northern Nigeria: The impacts and implications of human-related and climatic factors | |
Huang et al. | Effects of climate change on phenological trends and seed cotton yields in oasis of arid regions | |
Pachiappan et al. | Intelligent Machines, IoT, and AI in Revolutionizing Agriculture for Water Processing | |
Grechi et al. | Modelling coupled peach tree–aphid population dynamics and their control by winter pruning and nitrogen fertilization | |
TWM610801U (zh) | 農作物生長週期與產量交互動態預測系統 | |
Singla et al. | IoT based monitoring for the growth of basil using machine learning | |
Olakulehin et al. | A genetic algorithm approach to maximize crop yields and sustain soil fertility. | |
Pavithra et al. | Analysis of precision agriculture based on random forest algorithm by using sensor networks | |
BR112023019283A2 (pt) | Método implementado por computador para prever danos de plantas de cultura, produto de programa de computador e sistema de computador | |
CN117556996A (zh) | 基于区域历史数据的林业虫灾预测方法及系统 | |
San Choi et al. | Temperature-dependent development of Ascotis selenaria (Lepidoptera: Geometridae) and its stage emergence models with field validation | |
Simtion | Profitability in the context of the needs and requirements of sustainable farms development. | |
bin Kim et al. | Temperature-dependent fecundity of overwintered Unaspis yanonensis (Hemiptera: Diaspididae) and use of degree-days for the prediction of first crawler | |
Karlsson et al. | Development of Scots pine stands after first biomass thinning with implications on management profitability over rotation | |
Tipping et al. | An abundant biological control agent does not provide a significant predator subsidy | |
Sefat et al. | Application of artificial neural network (ANN) for modelling the economic efficiency of broiler production units | |
Narimani et al. | Developing an aeroponic smart experimental greenhouse for controlling irrigation and plant disease detection using deep learning and IoT | |
Seo et al. | Temperature-driven models of Aculops pelekassi (Acari: Eriophyidae) based on its development and fecundity on detached citrus leaves in the laboratory | |
Wen et al. | The Application of Machine Learning in Agriculture Sustainability: A Review | |
Chattopadhyay et al. | Strategies for minimizing crop loss due to pest and disease incidences by adoption of weather-based plant protection techniques | |
Koshy et al. | Wireless Sensor Network based Forewarning Models for Pests and Diseases in Agriculture-A Case Study on Groundnut | |
Shiyomi et al. | Long-term prediction of grassland production for five temporal patterns of precipitation during the growing season of plants based on a system model in Xilingol, Inner Mongolia, China |