Sarron et al., 2023 - Google Patents
Assessing production gaps at the tree scale: definition and application to mango (Mangifera indica L.) in West AfricaSarron et al., 2023
View HTML- Document ID
- 5874811491847788185
- Author
- Sarron J
- Faye E
- Nordey T
- Diatta J
- Normand F
- Beillouin D
- Malézieux E
- Publication year
- Publication venue
- Agronomy for Sustainable Development
External Links
Snippet
Fruit tree productivity is generally low and highly variable in the tropics. Quantifying yield gaps and their determining factors provides levers to increase production, but yield gap of fruit trees remains poorly explored at the tree scale. In order to bridge this knowledge gap …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0639—Performance analysis
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
- G06Q30/0202—Market predictions or demand forecasting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
- G06Q30/0201—Market data gathering, market analysis or market modelling
-
- 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
- A01G7/04—Electric or magnetic treatment of plants for promoting growth
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/06—Investment, e.g. financial instruments, portfolio management or fund management
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Shammi et al. | Use time series NDVI and EVI to develop dynamic crop growth metrics for yield modeling | |
Gawande et al. | Potential of precision farming technologies for eco-friendly agriculture | |
Wellens et al. | Performance assessment of the FAO AquaCrop model for irrigated cabbage on farmer plots in a semi-arid environment | |
Meylan et al. | Combining a typology and a conceptual model of cropping system to explore the diversity of relationships between ecosystem services: The case of erosion control in coffee-based agroforestry systems in Costa Rica | |
Mandal et al. | Precision farming for small agricultural farm: Indian scenario. | |
Ahmad et al. | A review of best management practices for potato crop using precision agricultural technologies | |
Tatsumi et al. | Prediction of plant-level tomato biomass and yield using machine learning with unmanned aerial vehicle imagery | |
Tayari et al. | Role of GPS and GIS in precision agriculture | |
Amankulova et al. | Time-series analysis of Sentinel-2 satellite images for sunflower yield estimation | |
Monteiro et al. | Sugarcane yield gap: can it be determined at national level with a simple agrometeorological model? | |
Agam et al. | Spatial distribution of water status in irrigated olive orchards by thermal imaging | |
Dehkordi et al. | Yield gap analysis using remote sensing and modelling approaches: Wheat in the northwest of Iran | |
Amankulova et al. | Sunflower crop yield prediction by advanced statistical modeling using satellite-derived vegetation indices and crop phenology | |
Grados et al. | Assessing the potato yield gap in the Peruvian Central Andes | |
Belal et al. | Precision farming technologies to increase soil and crop productivity | |
Dinh et al. | Statistical analysis of the weather impact on Robusta Coffee Yield in Vietnam | |
Silva et al. | Irrigation in the age of agriculture 4.0: management, monitoring and precision | |
Meshesha et al. | Developing crop yield forecasting models for four major Ethiopian agricultural commodities | |
da Silva Andrea et al. | Predictive framework of plant height in commercial cotton fields using a remote sensing and machine learning approach | |
Tatsumi | Effects of automatic multi-objective optimization of crop models on corn yield reproducibility in the USA | |
Lamour et al. | Spatial analysis and mapping of banana crop properties: issues of the asynchronicity of the banana production and proposition of a statistical method to take it into account | |
Fahad et al. | Regional wheat yield estimation by integration of remotely sensed soil moisture into a crop model | |
Savchik et al. | Mapping almond stem water potential using machine learning and multispectral imagery | |
Jamali et al. | Development of machine learning models for estimating wheat biophysical variables using satellite-based vegetation indices | |
JP7053083B2 (en) | Information processing equipment |