A5100666035- Greenhouse Technology and Climate Control
- Smart Agriculture and AI
- Light effects on plants
- Leaf Properties and Growth Measurement
- Pesticide Residue Analysis and Safety
- Plant Surface Properties and Treatments
- Remote Sensing and Land Use
- Soil Carbon and Nitrogen Dynamics
- Photosynthetic Processes and Mechanisms
- Plant and Biological Electrophysiology Studies
- Plant-Microbe Interactions and Immunity
- Plant Stress Responses and Tolerance
- Plant Disease Management Techniques
- Horticultural and Viticultural Research
- Remote Sensing in Agriculture
- Berry genetics and cultivation research
- Spectroscopy and Chemometric Analyses
- Plant Physiology and Cultivation Studies
- Tree Root and Stability Studies
- Electrowetting and Microfluidic Technologies
- Agriculture, Soil, Plant Science
- Advanced Computational Techniques and Applications
- Plant Pathogens and Fungal Diseases
- Modular Robots and Swarm Intelligence
- Seismic Waves and Analysis
First Affiliated Hospital of GuangXi Medical University
2025
Guangxi Medical University
2025
Chinese Academy of Agricultural Sciences
2008-2024
Institute of Crop Sciences
2024
Nanjing University of Science and Technology
2023
London School of Economics and Political Science
2023
Yangtze University
2023
Ministry of Agriculture and Rural Affairs
2023
Hunan First Normal University
2023
Nanjing Forestry University
2013-2022
Fusarium graminearum is a notorious pathogen that causes head blight (FHB) in cereal crops. It produces secondary metabolites, such as deoxynivalenol, diminishing grain quality and leading to lesser crop yield. Many strategies have been developed combat this pathogenic fungus; however, considering the lack of resistant cultivars likelihood environmental hazards upon using chemical pesticides, efforts shifted toward biocontrol plant diseases, which sustainable eco-friendly approach. Fengycin,...
In the face of contradiction between increasing demand for agricultural products and sharp reduction resources labor force, robot technology is developing explosively on basis decades technical industrial exploration. view complexity particularity development technology, it great value to summarize its characteristics make reasonable judgments trend. this paper, type systems was first discussed. From classification systems, main types monitoring robots, non-selective selective working robots...
Lettuce is an important vegetable in horticulture, but information about the interactive effects of light and temperature on its photosynthetic characteristics was inadequate. This work investigated three temperatures (15/10 (T15), 23/18 (T23), 30/23 °C (T30)) five treatments (100 (P100), 200 (P200), 350 (P350), 500 (P500), 600 μmol·m−2·s−1 (P600)) light–response curves, chlorophyll content, yield lettuce. The results showed that maximum rate, saturation point, lettuce were all highest at...
Artificial Intelligence (AI) technology can reshape music education to enable students learn musical instruments and compose in a fun easy way. This article examines the effectiveness of AI-enabled teaching. The study seeks incorporate AI-powered chatbots into piano classes seven schools evaluate their effect on student performance. results show that who used given app achieved better than those enrolled conventional classes. Overall, exploiting AI resulted 15% increase academic performance,...
Recently, the worldwide demand for romaine lettuce (Lactuca sativa L.) has been increasing. Thus, regulation measures of supplementary or shading light are often used in production some regions. However, inconsistent results on saturation point from previous studies do not facilitate intensity. In present study, effects different intensities anti-oxidative enzyme activity, yield and quality were investigated. The reveal following: (1) judged by dynamics there was no stress to occurr 100, 200...
In order to realize the real-time and accurate detection of potted flowers on benches, in this paper we propose a method based ZED 2 stereo camera YOLO V4-Tiny deep learning algorithm for flower location. First, an automatic model was established convolutional neural network (CNN) model, center points pixel plane were obtained according prediction box. Then, 3D point cloud information by used calculate actual position flowers. The test results showed that mean average precision (MAP) recall...
The rhizospheric bacterium Pseudomonas protegens Pf-5 can colonize the seed and root surfaces of plants, protect them from pathogen infection. Secondary metabolites, including lipopeptides polyketides produced by Pf-5, are involved in its biocontrol activity. We isolated a crude extract Pf-5. It exhibited significant surface activity strong antibacterial against Pantoea ananatis DZ-12, which causes maize brown rot on leaves. HPLC analysis combined with tests showed that polyketide...
Rice (Oryza sativa L.) production is being challenged by global warming. Identifying new loci and favorable alleles associated with heat tolerance crucial to developing rice heat-tolerant varieties.We evaluated the at seedling stage using 620 diverse accessions. A total of six were identified a genome-wide association study (GWAS) ~2.8 million single nucleotide polymorphisms (SNPs).Among detected loci, qHT7 harbored strongest signal most SNPs. By comparing transcriptomes two representative...
Accurately quantitative determination of oil content in oilseed rape plays an important role varieties breeding for improving seeds. However, large quantity oilseeds were needed order to obtain accuracy and precision results by using standard Soxhlet extraction method, which may be a handicap analysis small, rare precious samples plant breeding. In the present work, ultrasound-assisted was evaluated as simpler more effective alternative conventional method isolation from small (<20 mg). The...
Light and temperature are two crucial factors affecting plant growth. intensities vary considerably with season weather conditions. Reasonable light regulation at different temperatures is a key issue in environmental regulation. In this study, we determined the effects of intensity on crop growth development. Furthermore, an optimal value suitable range for producing lettuce Lactuca sativa L. Artificial climate chamber experiments were conducted five (100, 200, 350, 500, 600 μmol·m −2 ·s −1...
Internet of things (IoT) technology has been constantly applied in greenhouse environmental monitoring and control recent years. The acquisition parameters, network protocols are different for the various purposes greenhouse. These factors keys to abilities effectively communicate transfer meaningful data IoT infrastructures. To achieve adaptive matching communication between gateway server a system, encapsulation method based on XML was designed enable interoperability distributed system....
Abstract The flavor of sesame oil significantly depends on the roasting conditions and relative concentrations volatiles. In present study, volatile components from three varieties produced by seeds under different were analyzed profiled using GC–mass chromatography. results showed that temperature had an obvious effect aroma oils since there was increase in concentration volatiles responsible for such as pyrazines, furans, sesamol at which roasted increased. However, some alcohols...
Leaves are used extensively as an indicator in research on tree growth. Leaf area, one of the most important index leaf morphology, is also a comprehensive growth for evaluating effects environmental factors. When scanning surfaces using 3D laser scanner, scanned point cloud data usually contain many outliers and noise. These can be clusters or sparse points, whereas noise non-isolated but exhibits different attributes from valid points. In this study, filtering method leaves based manifold...
Abstract. Crustal thickness is an important factor affecting lithospheric structure and deep geodynamics. In this paper, a learning neural network based on stacked sparse auto-encoder proposed for the inversion of crustal in eastern Tibet western Yangtze craton. First, with phase velocity Rayleigh surface wave as input theoretical output, 12 deep-sSAE networks are constructed, which trained by 380 000 tested 120 models. We then invert observed velocities through these networks. According to...