International Journal of Intelligent Control and Systems: Publishes leading research on intelligent control & systems. A CAST 'High-Grade Initiated Journal'.
A new paper explores low-cost plant phenotyping methods, highlighting deep learning and 3D reconstruction for plant digital twins and crop monitoring. Read more in The International Journal of Intelligent Control and Systems (IJICS).
Researchers develop a deployable digital twin system for precision irrigation, combining deep reinforcement learning and crop modelling to improve water use efficiency and yield. Read more in The International Journal of Intelligent Control and Systems (IJICS).
A new study published in The International Journal of Intelligent Control and Systems (IJICS) proposes a blockchain-enabled mechanism for agricultural contract fulfillment, using decentralized identity and smart contracts to strengthen trust and reduce risks.
A novel study from The International Journal of Intelligent Control and Systems (IJICS) develops a deep learning-based system for real-time pine wilt disease monitoring, enabling efficient and cost-effective large-scale forest surveillance.
A new study published in The International Journal of Intelligent Control and Systems (IJICS) shows that unmanned aerial vehicle (UAV) multi-sensor imaging and machine learning can improve sugar beet quality and yield prediction for precision agriculture.
Researchers develop XPlantGL, a functional-structural plant modelling software for crop growth simulation and parameter calibration, supporting digital phenotyping and agriculture. Read more in The International Journal of Intelligent Control and Systems (IJICS).
A new article connects leaf biochemical and canopy photosynthesis models to better predict crop growth and grain yield, advancing molecular breeding and crop improvement. Read more in The International Journal of Intelligent Control and Systems (IJICS).
A novel study from The International Journal of Intelligent Control and Systems (IJICS) combines physics-informed machine learning with XGBoost to improve greenhouse evapotranspiration prediction, supporting precision irrigation and smarter water management.
A new paper published in The International Journal of Intelligent Control and Systems (IJICS) highlights how functional-structural plant models and artificial intelligence-based digital plant twins can help African agriculture adapt to climate change.
A new study from The International Journal of Intelligent Control and Systems (IJICS) proposes a smart-contract-driven multi-agent collaboration mechanism that improves workflow validation, reliability, and coordination in distributed AI systems.
The International Journal of Intelligent Control and Systems (IJICS) analyzes the electromagnetic field characteristics of radial magnetic levitation bearings using finite element simulations, improving design precision and system reliability.
The International Journal of Intelligent Control and Systems (IJICS) presents a weighted-sign-based sequential synchronization control framework using residual reinforcement learning for improved fixed-time convergence under bounded disturbances
The International Journal of Intelligent Control and Systems (IJICS) proposes a resilient dynamic event-triggered control strategy for intelligent vehicle platoons under denial-of-service (DoS) attacks, improving communication efficiency and platoon stability
A new study from The International Journal of Intelligent Control and Systems (IJICS) presents a safety-critical finite-time cooperative control framework for sampled multi-robot systems, enabling rapid convergence and collision-free coordination.
A study from The International Journal of Intelligent Control and Systems (IJICS) reports an extended state observer (ESO)-based model-free adaptive heading control strategy that improves unmanned surface vessel navigation under ocean disturbances.
A study in The International Journal of Intelligent Control and Systems (IJICS) introduces a fixed-time control framework for nonlinear multi-agent systems under communication constraints.
The International Journal of Intelligent Control and Systems (IJICS) presents an iterative linear quadratic regulator-based model predictive control method for quadrotor unmanned aerial vehicles (UAVs), enhancing trajectory tracking and robustness.
The International Journal of Intelligent Control and Systems (IJICS) presents a vision-language-action robotic painting framework combining multimodal AI, robotic control, and Parallel Art.
A recent study from The International Journal of Intelligent Control and Systems (IJICS) presents a parallel retrieval-augmented generation-agent-large language model (PRALLM) framework for unified public-private knowledge integration.
A novel research article proposes social centrality ranking for vehicular ad hoc network signal processing via particle swarm optimization neural networks.
Read more in The International Journal of Intelligent Control and Systems (IJICS): https://t.co/MeGMNoqLu3