A5090637370- Smart Agriculture and AI
- Remote Sensing in Agriculture
- Plant Water Relations and Carbon Dynamics
- Leaf Properties and Growth Measurement
- Soil Moisture and Remote Sensing
- Remote Sensing and LiDAR Applications
- Irrigation Practices and Water Management
- Soil Mechanics and Vehicle Dynamics
- Yersinia bacterium, plague, ectoparasites research
- Greenhouse Technology and Climate Control
- Robotics and Sensor-Based Localization
- Herpesvirus Infections and Treatments
- Rabies epidemiology and control
- Water Quality Monitoring and Analysis
- Indoor and Outdoor Localization Technologies
Sun Yat-sen University
2024
South China Agricultural University
2021-2023
In order to create an irrigation scheduling plan for use in large-area citrus orchards, environmental information collection system of orchards was established based on the Internet Things (IoT). With data, deep bidirectional long short-term memory (Bid-LSTM) networks are proposed improve soil moisture (SM) and electrical conductivity (SEC) predictions, providing a meaningful reference fertilization orchards. The IoT contains SM, SEC, air temperature humidity, wind speed, precipitation...
High-precision position estimations of agricultural mobile robots (AMRs) are crucial for implementing control instructions. Although the global navigation satellite system (GNSS) and real-time kinematic GNSS (RTK-GNSS) provide high-precision positioning, AMR accuracy decreases when signals interfere with buildings or trees. An improved estimation algorithm based on multisensor fusion autoencoder neural network is proposed. The multisensor, RTK-GNSS, inertial-measurement-unit,...
Introduction Canopy stomatal conductance (Sc) indicates the strength of photosynthesis and transpiration plants. In addition, Sc is a physiological indicator that widely employed to detect crop water stress. Unfortunately, existing methods for measuring canopy are time-consuming, laborious, poorly representative. Methods To solve these problems, in this study, we combined multispectral vegetation index (VI) texture features predict values used citrus trees fruit growth period as research...
Water stress is a significant element impacting photosynthesis, which one of the major physiological activities governing crop growth and development. In this study, photosynthetic rate Brassica chinensis L. var. parachinensis (Bailey) (referred to as Chinese hereafter) was predicted using deep learning method. Five sets were created, each with different water gradient. Air temperature (Ta), relative humidity (RH), canopy (Tc), transpiration (Tr), (Pn), photosynthetically available radiation...
Field positioning (FP) is a key technique in the digitalization of agriculture. By integrating sensors and mapping techniques, FP can convey critical information such as soil quality, plant distribution, topography. Utilizing vehicles for field applications provides precise control scientific management agricultural production. Compared to conventional methods, which often struggle with complexities conditions suffer from insufficient accuracy, this study employs novel approach using...