A5062615016- Soil Carbon and Nitrogen Dynamics
- Nematode management and characterization studies
- Fault Detection and Control Systems
- Advanced Control Systems Optimization
- Legume Nitrogen Fixing Symbiosis
- Plant Stress Responses and Tolerance
- Plant Micronutrient Interactions and Effects
- Control Systems and Identification
- Clay minerals and soil interactions
- Plant nutrient uptake and metabolism
- Insect and Arachnid Ecology and Behavior
- Industrial Gas Emission Control
- Heavy metals in environment
- Soil and Water Nutrient Dynamics
- Marine Biology and Ecology Research
- Insects and Parasite Interactions
- Composting and Vermicomposting Techniques
- Process Optimization and Integration
- Agronomic Practices and Intercropping Systems
- Parasite Biology and Host Interactions
- Stability and Control of Uncertain Systems
- Research in Cotton Cultivation
- Odor and Emission Control Technologies
- Aluminum toxicity and tolerance in plants and animals
- Agriculture, Soil, Plant Science
National University of Singapore
2022-2025
Hubei Academy of Agricultural Sciences
2011-2024
Institute of Plant Protection
2011-2024
Chengdu University
2024
Ministry of Agriculture and Rural Affairs
2019-2024
Anhui Agricultural University
2024
Shanghai University
2024
Zhejiang Normal University
2023
Huazhong Agricultural University
2010-2022
Bar-Ilan University
2010-2020
Different nitrogen (N) sources have been reported to significantly affect the activities and expressions of N metabolism enzymes mineral elements concentrations in crop plants. However, molybdenum-induced effects winter wheat cultivars still not investigated under different sources. Here, a hydroponic study was carried out investigate these on two ('97003' '97014') as Mo-efficient Mo-inefficient, respectively, (NO3-, NH4NO3, NH4+). The results revealed that nitrate reductase (NR) nitrite...
In this work, we present a physics-informed recurrent neural network (PIRNN) modeling approach, and PIRNN-based predictive control scheme for general class of nonlinear dynamic systems. Specifically, first develop hybrid data-driven physics-guided framework that integrates measurement data mechanistic mathematical models to construct high-fidelity RNN models. Then, derive generalization error bound the PIRNN model based on nominal system via Rademacher complexity technique from statistical...
Cadmium (Cd) is highly toxic, even at very low concentrations, to both animals and plants. Pollen extremely sensitive heavy metal pollutants; however, less attention has been paid the protection of this vital part under stress. A pot experiment was designed investigate effect foliar application Se (1 mg/L) Mo (0.3 either alone or in combination on their absorption, translocation, impact Cd uptake its further distribution Brassica napus, as well these fertilizers pollen grains morphology,...
Abstract This work develops a transfer learning (TL) framework for modeling and predictive control of nonlinear systems using recurrent neural networks (RNNs) with the knowledge obtained in one process transferred to another. Specifically, uses pretrained model developed based on source domain as starting point, adapts target similar configurations. The generalization error TL‐based RNN (TL‐RNN) is first derived demonstrate capability process. theoretical bound that depends capacity...
Abstract This work develops a model predictive control (MPC) scheme using online learning of recurrent neural network (RNN) models for nonlinear systems switched between multiple operating regions following prescribed switching schedule. Specifically, an RNN is initially developed offline to process dynamics the historical operational data collected in small region around certain steady‐state. After system another under Lyapunov‐based MPC with suitable constraints ensure satisfaction...