Research graph
References from Enhancing crop management with digital twin technology. Local targets link to admitted publications; unresolved targets remain external evidence.
A digital twin for smart farming
2019 · External reference
Spectral data driven machine learning classification models for real-time leaf spot disease detection in brinjal crops
10.1016/j.eja.2024.127384 · 2024 · External reference
A multimodal approach for enhanced disease management in cauliflower crops: integration of spectral sensors, machine learning models and targeted spraying technology
2024 · External reference
Automatic segmentation of stem and leaf components and individual maize plants in field terrestrial LiDAR data using convolutional neural networks
10.1016/j.cj.2021.10.010 · 2022 · External reference
Leveraging IoT and digital twins to monitor crop growth and health in agriculture
2024 · External reference
Agrochemical spray technology adoption and safety awareness assessment in crop protection in vineyard cultivation
2024 · External reference
Ultrasonic sensor-based automatic control volume sprayer for pesticides and growth regulators application in vineyards
10.1016/j.atech.2023.100232 · 2023 · External reference
Unresolved reference
2024 · External reference
10.31220/agrirxiv.2022.00165
10.31220/agrirxiv.2022.00165 · External reference
Digital twin technology challenges and applications: a comprehensive review
10.3390/rs14061335 · 2022 · External reference
Multi-vegetation indices based handheld device for precise nitrogen assessment and prescription in direct seeded rice
10.1016/j.compag.2024.109886 · 2025 · External reference
Digital twin system of pest management driven by data and model fusion
10.3390/agriculture14071099 · 2024 · External reference
Optimized convolutional neural networks for real-time detection and severity assessment of early blight in tomato (Solanum lycopersicum L.)
10.1016/j.fgb.2025.103984 · 2025 · External reference
Digital twins in agriculture: orchestration and applications
10.1021/acs.jafc.4c01934 · 2024 · External reference
Water and sustainable agriculture
2011 · External reference
Computer vision in smart agriculture and precision farming: techniques and applications
2024 · External reference
Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems
2016 · External reference
Unresolved reference
1994 · External reference
IoT based smart water quality monitoring: recent techniques, trends and challenges for domestic applications
10.3390/w13131729 · 2021 · External reference
Energy planning of pigsty using digital twin
2019 · External reference
Application scenarios of digital twins for smart crop farming through cloud-fog-edge infrastructure
10.3390/fi16030100 · 2024 · External reference
Business models for industrial smart services–the example of a digital twin for a product-service-system for potato harvesting
10.1016/j.procir.2019.04.114 · 2019 · External reference
Spectral sensor‐based device for real‐time detection and severity estimation of groundnut bud necrosis virus in tomato
10.1002/rob.22391 · 2025 · External reference
The multi-agent approach for developing a cyber-physical system for managing precise farms with digital twins of plants
10.35470/2226-4116-2019-8-4-257-261 · 2019 · External reference
Automatic monitoring of lettuce fresh weight by multi-modal fusion based deep learning
10.3389/fpls.2022.980581 · 2022 · External reference
Planning agricultural core road networks based on a digital twin of the cultivated landscape
2019 · External reference
From bytes to farm: transferability of industrial digital twins in agricultural systems
10.1007/s42853-025-00256-1 · 2025 · External reference
APSIM: a novel software system for model development, model testing and simulation in agricultural systems research
10.1016/0308-521x(94)00055-v · 1996 · External reference
Digital twin for the future of orchard production systems
2020 · External reference
Enhancing crop health through digital twin for disease monitoring and nutrient balance
10.35784/iapgos.5626 · 2024 · External reference
A systematic review of IoT solutions for smart farming
10.3390/s20154231 · 2020 · External reference
A digital twin approach for soil moisture measurement with physically based rendering simulations and machine learning
10.3390/electronics14020395 · 2025 · External reference
Enhancing smart agriculture by implementing digital twins: a comprehensive review
10.3390/s23167128 · 2023 · External reference
Using a digital twin to explore water infrastructure impacts during the COVID-19 pandemic
10.1016/j.scs.2021.103520 · 2022 · External reference
Unresolved reference
2024 · External reference
L-systems: from the theory to visual models of plants
1996 · External reference
A revisit of internet of things technologies for monitoring and control strategies in smart agriculture
10.3390/agronomy12010127 · 2022 · External reference
Description and performance of CERES wheat: a user-oriented wheat yield model
1985 · External reference
The digital twin paradigm applied to soil quality assessment: a systematic literature review
10.3390/s23021007 · 2023 · External reference
Development of models and methods for creating a digital twin of plant within the cyber-physical system for precision farming management
10.1088/1742-6596/1703/1/012022 · 2020 · External reference
Integrating digital twins and artificial intelligence multi-modal transformers into water resource management: overview and advanced predictive framework
10.3390/ai5040098 · 2024 · External reference
RiceGrow: a rice growth and productivity model
10.1016/j.njas.2009.12.003 · 2009 · External reference
Digital twins in smart farming
10.1016/j.agsy.2020.103046 · 2021 · External reference
Digital twin technology
2020 · External reference
A digital advisor twin for crop nitrogen management
10.3390/agriculture12020302 · 2022 · External reference
Anomaly detection in plant growth in a controlled environment using 3D scanning techniques and deep learning
2021 · External reference
Digital twins for additive manufacturing: a state-of-the-art review
10.3390/app10238350 · 2020 · External reference
A comprehensive review of digital twins technology in agriculture
10.3390/agriculture15090903 · 2025 · External reference
Spectral sensor‐based device for real‐time detection and severity estimation of groundnut bud necrosis virus in tomato
10.1002/rob.22391 · ExternalCitation · doi-reference
From bytes to farm: transferability of industrial digital twins in agricultural systems
10.1007/s42853-025-00256-1 · ExternalCitation · doi-reference
APSIM: a novel software system for model development, model testing and simulation in agricultural systems research
10.1016/0308-521x(94)00055-v · ExternalCitation · doi-reference
Digital twins in smart farming
10.1016/j.agsy.2020.103046 · ExternalCitation · doi-reference
Ultrasonic sensor-based automatic control volume sprayer for pesticides and growth regulators application in vineyards
10.1016/j.atech.2023.100232 · ExternalCitation · doi-reference
Automatic segmentation of stem and leaf components and individual maize plants in field terrestrial LiDAR data using convolutional neural networks
10.1016/j.cj.2021.10.010 · ExternalCitation · doi-reference
Multi-vegetation indices based handheld device for precise nitrogen assessment and prescription in direct seeded rice
10.1016/j.compag.2024.109886 · ExternalCitation · doi-reference
Spectral data driven machine learning classification models for real-time leaf spot disease detection in brinjal crops
10.1016/j.eja.2024.127384 · ExternalCitation · doi-reference
Optimized convolutional neural networks for real-time detection and severity assessment of early blight in tomato (Solanum lycopersicum L.)
10.1016/j.fgb.2025.103984 · ExternalCitation · doi-reference
RiceGrow: a rice growth and productivity model
10.1016/j.njas.2009.12.003 · ExternalCitation · doi-reference
Business models for industrial smart services–the example of a digital twin for a product-service-system for potato harvesting
10.1016/j.procir.2019.04.114 · ExternalCitation · doi-reference
Using a digital twin to explore water infrastructure impacts during the COVID-19 pandemic
10.1016/j.scs.2021.103520 · ExternalCitation · doi-reference
Digital twins in agriculture: orchestration and applications
10.1021/acs.jafc.4c01934 · ExternalCitation · doi-reference
Development of models and methods for creating a digital twin of plant within the cyber-physical system for precision farming management
10.1088/1742-6596/1703/1/012022 · ExternalCitation · doi-reference
10.31220/agrirxiv.2022.00165
10.31220/agrirxiv.2022.00165 · ExternalCitation · doi-reference
Automatic monitoring of lettuce fresh weight by multi-modal fusion based deep learning
10.3389/fpls.2022.980581 · ExternalCitation · doi-reference
A digital advisor twin for crop nitrogen management
10.3390/agriculture12020302 · ExternalCitation · doi-reference
Digital twin system of pest management driven by data and model fusion
10.3390/agriculture14071099 · ExternalCitation · doi-reference
A comprehensive review of digital twins technology in agriculture
10.3390/agriculture15090903 · ExternalCitation · doi-reference
A revisit of internet of things technologies for monitoring and control strategies in smart agriculture
10.3390/agronomy12010127 · ExternalCitation · doi-reference
Integrating digital twins and artificial intelligence multi-modal transformers into water resource management: overview and advanced predictive framework
10.3390/ai5040098 · ExternalCitation · doi-reference
Digital twins for additive manufacturing: a state-of-the-art review
10.3390/app10238350 · ExternalCitation · doi-reference
A digital twin approach for soil moisture measurement with physically based rendering simulations and machine learning
10.3390/electronics14020395 · ExternalCitation · doi-reference
Application scenarios of digital twins for smart crop farming through cloud-fog-edge infrastructure
10.3390/fi16030100 · ExternalCitation · doi-reference
Digital twin technology challenges and applications: a comprehensive review
10.3390/rs14061335 · ExternalCitation · doi-reference
A systematic review of IoT solutions for smart farming
10.3390/s20154231 · ExternalCitation · doi-reference
The digital twin paradigm applied to soil quality assessment: a systematic literature review
10.3390/s23021007 · ExternalCitation · doi-reference
Enhancing smart agriculture by implementing digital twins: a comprehensive review
10.3390/s23167128 · ExternalCitation · doi-reference
IoT based smart water quality monitoring: recent techniques, trends and challenges for domestic applications
10.3390/w13131729 · ExternalCitation · doi-reference
The multi-agent approach for developing a cyber-physical system for managing precise farms with digital twins of plants
10.35470/2226-4116-2019-8-4-257-261 · ExternalCitation · doi-reference
Enhancing crop health through digital twin for disease monitoring and nutrient balance
10.35784/iapgos.5626 · ExternalCitation · doi-reference
