A5100437615- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Smart Agriculture and AI
- Climate variability and models
- Hydrology and Watershed Management Studies
- Coastal wetland ecosystem dynamics
- Peatlands and Wetlands Ecology
- Plant Disease Management Techniques
- Land Use and Ecosystem Services
- Wastewater Treatment and Nitrogen Removal
- Plant responses to elevated CO2
- Atmospheric and Environmental Gas Dynamics
- Rangeland Management and Livestock Ecology
- Robotics and Sensor-Based Localization
- Soil Carbon and Nitrogen Dynamics
- Electrochemical sensors and biosensors
- Quantum and electron transport phenomena
- Quantum Information and Cryptography
- Aquatic Ecosystems and Phytoplankton Dynamics
- Coral and Marine Ecosystems Studies
- Electrochemical Analysis and Applications
- Advanced Vision and Imaging
- Plant Ecology and Soil Science
- Remote Sensing and LiDAR Applications
- Environmental Changes in China
North Dakota State University
2022-2024
Chinese Academy of Sciences
2014-2024
University of Chinese Academy of Sciences
2016-2024
Institute of Geographic Sciences and Natural Resources Research
2015-2024
Research Center for Eco-Environmental Sciences
2007-2024
Beijing Normal University
2012-2023
Chengdu University of Traditional Chinese Medicine
2023
China University of Geosciences (Beijing)
2023
Xishuangbanna Tropical Botanical Garden
2023
Qilu University of Technology
2022
Despite the mounting attention being paid to vegetation growth and their driving forces for water-limited ecosystems, relative contributions of atmospheric soil moisture dryness stress on are an ongoing debate. Here we comprehensively compare impacts high vapor pressure deficit (VPD) low water content (SWC) in Eurasian drylands during 1982-2014. The analysis indicates a gradual decoupling between over this period, as former has expanded faster than latter. Moreover, VPD-SWC relation...
Wetland ecosystems are an important component in global carbon (C) cycles and may exert a large influence on climate change. Predictions of C dynamics require us to consider interactions among many critical factors soil, hydrology, vegetation. However, few such integrated models exist for wetland ecosystems. In this paper, we report simulation model, Wetland‐DNDC, methane (CH 4 ) emissions The general structure Wetland‐DNDC was adopted from PnET‐N‐DNDC, process‐oriented biogeochemical model...
Traditional weed management often involves blanket herbicide spraying, resulting in substantial wastage, environmental concerns, and resistant issues. Smart spraying systems utilizing robotics sensors technologies can minimize usage provide a sustainable solution for site-specific management. A machine vision-based system was designed developed identification precise spray application onto the target weeds. The sprayer platform utilizes deep learning YOLOv4 model to accurately recognize...
Abstract Seasonal variations in terrestrial evapotranspiration (ET) the Yellow River Basin (YRB) have crucial impacts on seasonal trajectories of regional water cycle, vegetation growth, and local climate feedback. However, possibly divergent roles growth controlling ET patterns remain poorly quantified. This study therefore quantifies interannual sensitivity attribution to different seasons biomes YRB China between 1982 2011, using satellite‐derived normalized difference index (NDVI),...
• We developed abnormal potato plant detection system considering the growth stage. explainable deep classification models, then we applied one of them. new pipeline to compare with surrounding plants. The required accuracy for near-real-time processing was achieved. are currently developing means practical implementation using system. Potatoes world’s most important root and tuber crop. A diseased seed can produce approximately 10 tubers, disease propagate through production cycle. To...
Weed identification is fundamental toward developing a deep learning-based weed control system. Deep learning algorithms assist to build detection model by using and crop images. The dynamic environmental conditions such as ambient lighting, moving cameras, or varying image backgrounds could affect the performance of algorithms. There are limited studies on how different would impact for identification. objective this research was test in images with potting mix (non-uniform) black pebbled...
Abstract The decomposition of aquatic macrophytes has important consequences for wetlands because it is closely related to organic matter accumulation and nutrient cycling. A field litter bag experiment was undertaken investigate the rates six dominant macrophytes. And level transfer from plant residues lake water also researched in Baiyangdian Lake, a typical macrophyte‐dominated Northern China Plain. Intact standing plants Phragmites australis , Typha angustifolia Nelumbo nucifera...
Global greening and its eco-environmental outcomes are getting mounting international focus. The important contribution of China to the global is highly appreciated. However, basic driving forces still elusive. Loess Plateau (LP) Three-River Source Region (TRSR) were chased as study areas in Northern China. prior one represents region experiencing intensive human interventions from ecological engineering projects, while latter a typical that faster climate change. Hypothesized be driven by...
A new iterative growth method is reported to prepare monodisperse sequence-defined polymers by combining the chain mechanisms of traditional sequential (ISG) and exponential (IEG) strategies. Using three orthogonal click reactions couple groups monomers, each containing two clickable groups. This grows in a protecting-group-free divergent/convergent way. Each cycle this involves divergent steps one convergent step, which endows with advantages both ISG IEG. The introduce monomer structures...
Purpose Visual simultaneous localization and mapping (SLAM) methods suffer from accumulated errors, especially in challenging environments without loop closure. By constructing lightweight offline maps using deep learning (DL)-based technology the two stages, i.e. image retrieval feature matching, goal is to reconstruct six-degree-of-freedom (6-DoF) relationship between SLAM sequences map sequences. This study aims propose a comprehensive coarse-to-fine 6-DoF long-term visual relocalization...
Abstract. Rapidly rising sea level is one of the major adverse consequences anthropogenic climate change. Sea rise poses an existential threat to coastal populations, particularly for urban settlements with accelerating growth rates. Contemporary empirical reconstructions have been used conflate short-term (~3 decades) satellite altimetry geocentric data and long-term (50 years or longer) tide gauge records better estimate reliable towards multi-decadal centennial time scales. However,...
Abstract Background Bronchiectasis is a progressive and fatal disease despite the available treatment regimens. Gastroesophageal reflux (GER) may play an important role in progression of bronchiectasis. However, active anti-reflux intervention such as Stretta radiofrequency (SRF) and/or laparoscopic fundoplication (LF) have rarely been used to treat Bronchiectasis. Case Presentation Seven patients’ clinical outcomes for treating GER-related deteriorated bronchiectasis were retrospective...
The changes in land cover patterns the Mongolian Plateau can reveal regional status of sustainable development. Based on data from 1990–2020, study reveals process change plateau and integrates those with UN Sustainable Development Goals (SDGs) to further evaluate development status. Result revealed there is a stable rate (0.16%) for Plateau, but diverse shifting trends various types SDGs indicators past 30 years. Croplands (SDG2) showed growth trend last five years, which was different its...
Weeds are considered obnoxious and a hindrance to crop yield. Due their uneven spatial distribution pattern, ground or aerial robot deployed spot spray herbicides. This herbicidal application depends entirely on the computer vision algorithms that assist with in-field weed identification prior spraying. Therefore, develop advanced algorithms, big data pertaining agricultural dataset required. In past, public domain have been released but mostly acquired using ground-based technologies. The...