A5064387321- Climate change impacts on agriculture
- Greenhouse Technology and Climate Control
- Computational Drug Discovery Methods
- Climate variability and models
- Irrigation Practices and Water Management
- Plant Water Relations and Carbon Dynamics
- Plant Disease Management Techniques
- Remote Sensing in Agriculture
- Plant responses to elevated CO2
- Leaf Properties and Growth Measurement
- Image Processing and 3D Reconstruction
- 3D Shape Modeling and Analysis
- Hydrology and Drought Analysis
- Chemical Synthesis and Analysis
- Remote Sensing and LiDAR Applications
- Boron and Carbon Nanomaterials Research
- HIV/AIDS drug development and treatment
- Fullerene Chemistry and Applications
- Smart Agriculture and AI
Yangzhou University
2018-2024
Tianjin University of Science and Technology
2016
Crop models are instrumental in simulating resource utilization agriculture, yet their complexity necessitates extensive calibration, which can impact the accuracy of yield predictions. Machine learning shows promise for enhancing estimations but relies on vast amounts training data. This study aims to improve pakchoi prediction simulation models. We developed a stacking ensemble model that integrates three base models—EU-Rotate_N, Random Forest Regression and Support Vector Regression—with...
In the process of cucumber cultivation, quantity and appearance time flowers are important factors influencing final yields. However, it is labor-intensive to timely record count flowers. An optional method identify automatically using computer vision technologies based on images taken by cameras installed in greenhouses. there severe problems with a large field view greenhouse environment, that is, foreground-background imbalance, which renders significant gaps between detection accuracy...
Jiangsu is an important agricultural province in China. Winter wheat, as the second major grain crop province, greatly affected by moisture variations. The objective of this study was to investigate whether there were significant trends changes conditions during wheat growing seasons over past decades and how yields responded different levels means a popular drought index, Standardized Precipitation Evapotranspiration Index (SPEI). started with trend analysis quantification Mann-Kendall test...
Plant phenotyping plays a pivotal role in observing and comprehending the growth development of plants. In phenotyping, plant organ segmentation based on 3D point clouds has garnered increasing attention recent years. However, using only geometric relationship features Euclidean space still cannot accurately segment measure To this end, we mine more propose network multiview graph encoder, called SN-MGGE. First, construct cloud acquisition platform to obtain cucumber seedling dataset, employ...
As non‐nucleoside reverse transcriptase inhibitors, tetrahydroimidazo [4,5,1‐jk][1, 4] benzodiazepinone ( TIBO ) derivatives play an important role in treating acquired immunodeficiency syndrome AIDS ). The activities (The 50% antiviral inhibitory concentration, p IC 50 of a series HIV inhibitor were modeled by the quantitative structure‐activity relationship (QSAR) method. Based on norm indexes proposed our group, multiple linear regression (MLR) model was developed to estimate anti HIV‐1...
To pursue high yields, the excessive application of nitrogen (N) fertilizer has been reported in high-residual soil nitrate levels, leaching, and contamination groundwater. In this study, tomato crops (Lycopersicon esculentum Mill.) were subjected to various treatments, content, water content at different layers, dry matter, yield measured. A mechanistic model, EU-Rotate_N, was used simulate aforementioned indexes a region Jiangsu province with relatively higher table. The predicted values...
We thank Dr. Mohammadi and other colleagues for their interest in our research valuable comments about the integrated climatic assessment indicator (ICAI) of wheat production (doi: https://doi.org//10.1016/j.ecolind.2019.01.059). brought up a discussion concerning modeling details artificial intelligence (AI) algorithms used study recent letter to editor https://doi.org//10.1016/j.ecolind.2019.04.055). In research, we use AI construct nonlinear relationships between yields meteorological...