Mahadea-Nemdharry et al., 2025 - Google Patents
Enhancing sugarcane field management in a tropical island: A comparative analysis of mapping gaps in sugarcane fields using drone and satellite imageriesMahadea-Nemdharry et al., 2025
- Document ID
- 4163812569688124327
- Author
- Mahadea-Nemdharry R
- Doorga J
- Busawon K
- Seeruttun S
- Publication year
- Publication venue
- Remote Sensing Applications: Society and Environment
External Links
Snippet
Mauritius, a tropical island where sugarcane has been cultivated for the past 300 years, plays a vital role as an economic cornerstone. The sustainability of the sugar industry in Mauritius is under threat due to various challenges. Key obstacles include the high costs of …
- 240000000111 Saccharum officinarum 0 title abstract description 114
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
- G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
-
- 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
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Pan et al. | Mapping cropping intensity in Huaihe basin using phenology algorithm, all Sentinel-2 and Landsat images in Google Earth Engine | |
| Kordi et al. | Crop classification based on phenology information by using time series of optical and synthetic-aperture radar images | |
| Torres-Sánchez et al. | Mapping the 3D structure of almond trees using UAV acquired photogrammetric point clouds and object-based image analysis | |
| Gandharum et al. | Remote sensing versus the area sampling frame method in paddy rice acreage estimation in Indramayu regency, West Java province, Indonesia | |
| Zhou et al. | An automated, high-performance approach for detecting and characterizing broccoli based on UAV remote-sensing and transformers: A case study from Haining, China | |
| Som-ard et al. | Sugarcane yield estimation in Thailand at multiple scales using the integration of UAV and Sentinel-2 imagery | |
| Meivel et al. | Monitoring of potato crops based on multispectral image feature extraction with vegetation indices | |
| Jiang et al. | Automated segmentation of individual leafy potato stems after canopy consolidation using YOLOv8x with spatial and spectral features for UAV-based dense crop identification | |
| López-Pérez et al. | Mapping of irrigated vineyard areas through the use of machine learning techniques and remote sensing | |
| Beese et al. | Using repeat airborne LiDAR to map the growth of individual oil palms in Malaysian Borneo during the 2015–16 El Niño | |
| Fernando et al. | Machine learning approach for satellite-based subfield canola yield prediction using floral phenology metrics and soil parameters | |
| Guebsi et al. | Leveraging Drone Technology for Precision Agriculture: A Comprehensive Case Study in Sidi Bouzid, Tunisia | |
| JP7053083B2 (en) | Information processing equipment | |
| Miao et al. | Large-scale mapping of the spatial distribution and cutting intensity of cultivated alfalfa based on a sample generation algorithm and random forest | |
| Jamil et al. | UAV time-series imagery show diversity treatment effects on cabbage growth | |
| Chávez-Martínez et al. | Dataset of aerial photographs acquired with UAV using a multispectral (green, red and near-infrared) camera for cherry tomato (Solanum lycopersicum var. cerasiforme) monitoring | |
| Mahadea-Nemdharry et al. | Enhancing sugarcane field management in a tropical island: A comparative analysis of mapping gaps in sugarcane fields using drone and satellite imageries | |
| Hoffmann et al. | Evaluation of satellite imagery to increase crop yield in irrigated agriculture | |
| Szatmári et al. | The Role of Field Survey in the Identification of Farmland Abandonment in Slovakia Using Sentinel-2 Data | |
| Sulieman | Expansion of mechanized rain-fed agriculture and land-use/land-cover change in the Southern Gadarif, Sudan | |
| Muthoni et al. | Disentangling climate and human drivers of land degradation in East and Southern Africa | |
| CN120808194B (en) | Fertilizer proportioning management method and system combined with remote sensing data analysis | |
| Bagdatli et al. | Estimation of Horticulture Area Expansion and Crop Yield Quantification by Using Remotely Sensed Data and Geographic Information Systems | |
| Dorbu | Data-Driven approach for processing remote sensing time-series imagery for precision agriculture | |
| Boitt | Hyperspectral remote sensing for cropland assessment and modeling for agro-ecological zones: A case study of Taita Hills, Kenya |