A5002715494- Remote Sensing in Agriculture
- Plant Water Relations and Carbon Dynamics
- Smart Agriculture and AI
- Remote Sensing and LiDAR Applications
- Irrigation Practices and Water Management
- Genomics and Phylogenetic Studies
- Neural Networks and Applications
- Marine Bivalve and Aquaculture Studies
- Robotics and Sensor-Based Localization
- Genetic diversity and population structure
- Evolutionary Algorithms and Applications
- Greenhouse Technology and Climate Control
- Spectroscopy and Chemometric Analyses
- Hydrology and Watershed Management Studies
- 3D Surveying and Cultural Heritage
- Soil Geostatistics and Mapping
- Industrial Vision Systems and Defect Detection
- Aquatic Invertebrate Ecology and Behavior
- Soil Moisture and Remote Sensing
- Nematode management and characterization studies
- Machine Learning and ELM
- Advanced Multi-Objective Optimization Algorithms
- Neural Networks and Reservoir Computing
- UAV Applications and Optimization
- Metaheuristic Optimization Algorithms Research
Zhejiang A & F University
2025
ZheJiang Academy of Agricultural Sciences
2025
Samsung (China)
2024
Wellcome Sanger Institute
2023-2024
Texas A&M University
2023-2024
University of California, Merced
2018-2023
Aerospace Information Research Institute
2023
Chinese Academy of Sciences
2023
University of Chinese Academy of Sciences
2023
Qinghai University
2020
<ns3:p>We present a chromosomal-level genome assembly from an individual <ns3:italic>Tridacna gigas</ns3:italic> (the giant clam; Mollusca; Bivalvia; Veneroida; Cardiidae). The sequence is 1,175.9 megabases in span. Most of the scaffolded into 17 chromosomal pseudomolecules. mitochondrial has also been assembled and 25.34 kilobases length. Gene annotation this on Ensembl identified 18,177 protein coding genes.</ns3:p>
In the last decade, technologies of unmanned aerial vehicles (UAVs) and small imaging sensors have achieved a significant improvement in terms equipment cost, operation cost image quality. These low-cost platforms provide flexible access to high resolution visible multispectral images. As result, many studies been conducted regarding applications precision agriculture, such as water stress detection, nutrient status yield prediction, etc. Different from traditional satellite low-resolution...
The rapid decline in water availability for irrigation on the Texas High Plains (THP) is a significant problem affecting crop production and viability of large regional economy worth approximately USD 7 billion annually. This region largest continuous cotton-producing area United States, timely delivery efficient use are critical to sustainability profitability cotton this region. Current scheduling must be improved reduce consumption without compromising production. Presently, based...
In the past few years, unmanned aerial vehicles (UAVs), also called drones, have been widely used in precision agriculture applications, such as water stress estimation, pest monitoring, and crop yield because of development UAV technology remote sensing sensors. However, how to collect data effectively can still be a big challenge. Many tunable parameters significant impact on quality analysis, flight height, time, overlapping, airspeed. And, little work has done regarding extract...
Fractional-order calculus is about the differentiation and integration of non-integer orders. Fractional (FC) based on fractional-order thinking (FOT) has been shown to help us understand complex systems better, improve processing signals, enhance control systems, increase performance optimization, even extend enabling potential for creativity. In this article, authors discuss fractional dynamics, FOT rich stochastic models. First, use dynamics in big data analytics quantifying variability...
In the pursuit of sustainable agriculture, efficient water management remains crucial, with growers relying on advanced techniques for informed decision-making. Cotton yield prediction, a critical aspect agricultural planning, benefits from cutting-edge technologies. However, traditional methods often struggle to capture nuanced complexities crop health and growth. This study introduces novel approach cotton leveraging synergy between Unmanned Aerial Vehicles (UAVs) scale-aware convolutional...
<ns4:p>We present the genome assembly of pennate diatom <ns4:italic>Epithemia pelagica</ns4:italic> strain UHM3201 (Ochrophyta; Bacillariophyceae; Rhopalodiales; Rhopalodiaceae) and that its cyanobacterial endosymbiont (Chroococcales: Aphanothecaceae). The sequence is 60.3 megabases in span, has a length 2.48 megabases. Most nuclear scaffolded into 15 chromosomal pseudomolecules. organelle genomes have also been assembled, with mitochondrial 40.08 kilobases plastid 130.75 length. A number...
Evapotranspiration (<i>ET</i>) estimation is important agricultural research in many regions because of the water scarcity, growing population, and climate change. <i>ET</i> can be analyzed as sum evaporation from soil transpiration crops to atmosphere. The accurate mapping are necessary for crop management. One traditional method use coefficient (<i>K<sub>c</sub></i>) reference (<i>ET<sub>o</sub></i>) estimate actual <i>ET</i>. With advent satellite technology, remote sensing images provide...
Many studies have shown that hyperspectral measurements can help monitor crop health status, such as water stress, nutrition pest etc. However, applications of cameras or scanners are still very limited in precision agriculture. The resolution satellite images is too low to provide the information desired scale. either field spectrometer aerial fairly high, but their cost high be afforded by growers. In this study, we interested if flow-cost scanner SCIO serve a monitoring tool for decision...
Crop coefficient (K <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">c</sub> ) methods have been commonly used for evapotranspiration estimation. Researchers estimate K as a function of the vegetation index because similarities between curve and curve. A linear regression model is usually developed normalized difference (NDVI) derived from satellite imagery. However, spatial resolution imagery in range meters or greater, which often not enough...
<p>Embracing smart irrigation management techniques empowers growers to irrigate with greater efficiency, thereby promoting sustainable agricultural production. In this context, often rely on crop evapotranspiration (ETc) as a key factor in making informed decisions, underscoring the significance of accurately determining and spatially mapping water status. Technological progress, exemplified by emergence unmanned aerial vehicles (UAVs), has brought about revolutionary shift...
<ns3:p>We present a chromosomal-level genome assembly from an individual <ns3:italic>Hippopus hippopus</ns3:italic> (strawberry clam; Mollusca; Bivalvia; Veneroida; Cardiidae). The sequence is 1,068.5 megabases in span. Most of the scaffolded into 19 chromosomal pseudomolecules. mitochondrial has also been assembled and 23.96 kilobases length.</ns3:p>
<ns4:p>We present a genome assembly from an individual specimen of <ns4:italic>Fragum fragum</ns4:italic> (a heart cockle; Mollusca; Bivalvia; Veneroida; Cardiidae). The sequence is 1,153.1 megabases in span. Most the scaffolded into 19 chromosomal pseudomolecules. mitochondrial has also been assembled and 22.36 kilobases length. Gene annotation this on Ensembl identified 17,262 protein coding genes.</ns4:p>
Accurate cotton yield prediction is essential for optimizing agricultural practices, improving storage management, and efficiently utilizing resources like fertilizers water, ultimately benefiting farmers economically. Traditional estimation methods, such as field sampling weighing, are time-consuming labor intensive. Emerging technologies provide a solution by offering advanced forecasting tools that can significantly enhance production efficiency. In this study, the authors employ...
The 3D object detector usually uses a framework similar to 2D detection and benefits from the advancements of tasks. In these frameworks, it is necessary make unstructured, sparse point cloud features into dense grids be compatible with popular operators such as convolution transformers, which also causes extra computational costs. this paper, we propose simple efficient Fully Sparse TRansformer (FSTR) for LiDAR-based detection, able combine state-of-the-art backbones form fully sparse,...
The accurate estimation and mapping of evapotranspiration (ET) are essential for crop water management. As one the traditional ET methods, coefficient (Kc) has been commonly used. Many studies indicated a linear regression relationship between Kc curve vegetation index curve. model is usually developed normalized difference (NDVI) derived from satellite imagery. images can provide temporally spatially distributed measurements. However, multispectral imagery's spatial resolution in range...
Stochastic Configuration Network (SCN) has a powerful capability for regression and classification analysis. Traditionally, it is quite challenging to correctly determine an appropriate architecture neural network so that the trained model can achieve excellent performance both learning generalization. Compared with known randomized algorithms single hidden layer feed-forward networks, such as Randomized Radial Basis Function (RBF) Networks Random Vector Functional-link (RVFL), SCN randomly...
<ns4:p>We present a genome assembly from an individual <ns4:italic>Fragum whitleyi</ns4:italic> (a heart cockle; Mollusca; Bivalvia; Veneroida; Cardiidae). The sequence is 1224.6 megabases in span. Most of the scaffolded into 18 chromosomal pseudomolecules. mitochondrial has also been assembled and 30.34 kilobases length.</ns4:p>