Digital twins map physical entities to the virtual space to reflect the full life cycle of these entities. Visual intelligence solutions for forestry can easily access digital maps of fields, forests, or plantations. Similarly, this also brings unlimited opportunities, from phenotypic micro-features to forest resource inventory measurement capabilities. Besides, users can detect early signs of stress on large plantations, generate accurate, readily available weed control maps, and track changes in assets over time. In forestry, plantation management, and precision agriculture, digital twins can drive viable business insights and reduce operating costs.
With the visual data management solution, it becomes quite simple to build and update a forest digital twins system and optimize forest land ownership from this digital copy, such as mapping and GIS analysis, forest management planning, inventory and harvesting plans, and timber inventory monitoring. From an environmental perspective, digital models of forests play a vital role in understanding and monitoring the effects of drought and disease on trees. For example, in the digital twins system of woodland, health diagnosis by locating dead trees and areas of interest, or satellite (the macro view) and drone data (detailed diagnosis) to provide early warning of diseases is more efficient. Such insight makes it easier to reduce risks and plan replanting options. Moreover, automated measurement of wood quantity, such as forest biomass, felled, or fallen wood, also makes digital twins a very effective tool for assessing and evaluating the carbon balance of forest land. Various analyses are applied in the digital twins of the experimental field to measure the characteristics of crops throughout the planting season with centimeter-level accuracy, such as estimating plant numbers, monitoring plant health, measuring plant height, describing the flowering process, obtaining plant maturity speed, or drawing the ground covered by green plants.
In forestry and plantation management, digital twins can improve viable business insights and reduce operating costs. The application of digital twins is still expanding. This Research Topic hopes to collect the application models and key technologies of digital twins in forest management and plant cultivation to lay the foundation for expanding the application scope of visual intelligence solutions.
The topics applicable to this Research Topic include but are not limited to:
• Visual Analysis of Pest Data in Forest Digital Twins
• Digital Twins of Plantation Management
• Precise Control of Weeds in Forest Digital Twins
• Evaluation of Forest Resources by Digital Twins
• Plant Visualization of Forest Digital Twins
• Digital Visualization of Plant Health Monitoring
• Digital Twins to Optimize Key Forestry Activities
• Micro-Exploration and Visualization Technology in Forestry Informatization Construction
• GIS And Digital Visualization of the Smart Forest System
• Forestry Data Mining and Forest Digital Twins
• Forest Landscape Quality Evaluation Supported by Digital Twins
• Forest Landscape Display of Digital Twins and Somatosensory Interaction
• Forest Digital Twins Supported by Drones and Sensors
Digital twins map physical entities to the virtual space to reflect the full life cycle of these entities. Visual intelligence solutions for forestry can easily access digital maps of fields, forests, or plantations. Similarly, this also brings unlimited opportunities, from phenotypic micro-features to forest resource inventory measurement capabilities. Besides, users can detect early signs of stress on large plantations, generate accurate, readily available weed control maps, and track changes in assets over time. In forestry, plantation management, and precision agriculture, digital twins can drive viable business insights and reduce operating costs.
With the visual data management solution, it becomes quite simple to build and update a forest digital twins system and optimize forest land ownership from this digital copy, such as mapping and GIS analysis, forest management planning, inventory and harvesting plans, and timber inventory monitoring. From an environmental perspective, digital models of forests play a vital role in understanding and monitoring the effects of drought and disease on trees. For example, in the digital twins system of woodland, health diagnosis by locating dead trees and areas of interest, or satellite (the macro view) and drone data (detailed diagnosis) to provide early warning of diseases is more efficient. Such insight makes it easier to reduce risks and plan replanting options. Moreover, automated measurement of wood quantity, such as forest biomass, felled, or fallen wood, also makes digital twins a very effective tool for assessing and evaluating the carbon balance of forest land. Various analyses are applied in the digital twins of the experimental field to measure the characteristics of crops throughout the planting season with centimeter-level accuracy, such as estimating plant numbers, monitoring plant health, measuring plant height, describing the flowering process, obtaining plant maturity speed, or drawing the ground covered by green plants.
In forestry and plantation management, digital twins can improve viable business insights and reduce operating costs. The application of digital twins is still expanding. This Research Topic hopes to collect the application models and key technologies of digital twins in forest management and plant cultivation to lay the foundation for expanding the application scope of visual intelligence solutions.
The topics applicable to this Research Topic include but are not limited to:
• Visual Analysis of Pest Data in Forest Digital Twins
• Digital Twins of Plantation Management
• Precise Control of Weeds in Forest Digital Twins
• Evaluation of Forest Resources by Digital Twins
• Plant Visualization of Forest Digital Twins
• Digital Visualization of Plant Health Monitoring
• Digital Twins to Optimize Key Forestry Activities
• Micro-Exploration and Visualization Technology in Forestry Informatization Construction
• GIS And Digital Visualization of the Smart Forest System
• Forestry Data Mining and Forest Digital Twins
• Forest Landscape Quality Evaluation Supported by Digital Twins
• Forest Landscape Display of Digital Twins and Somatosensory Interaction
• Forest Digital Twins Supported by Drones and Sensors
