A5100736049- Remote Sensing in Agriculture
- Neurobiology and Insect Physiology Research
- Remote Sensing and LiDAR Applications
- Land Use and Ecosystem Services
- Insect and Arachnid Ecology and Behavior
- Smart Agriculture and AI
- Urban Heat Island Mitigation
- Plant Water Relations and Carbon Dynamics
- Hydrology and Watershed Management Studies
- Climate variability and models
- Seismic Waves and Analysis
- Polysaccharides Composition and Applications
- Astrophysical Phenomena and Observations
- Polysaccharides and Plant Cell Walls
- Rangeland and Wildlife Management
- Genetics, Aging, and Longevity in Model Organisms
- Ecology and biodiversity studies
- Leaf Properties and Growth Measurement
- Animal Behavior and Reproduction
- Rangeland Management and Livestock Ecology
- Impact of Light on Environment and Health
- Remote-Sensing Image Classification
- Animal Ecology and Behavior Studies
- Advanced Image Fusion Techniques
- Tree Root and Stability Studies
École Polytechnique Fédérale de Lausanne
2023-2024
Bioengineering (Switzerland)
2024
Heilongjiang Bayi Agricultural University
2024
China Agricultural University
2023
National Center for Supercomputing Applications
2019-2022
University of Illinois Urbana-Champaign
2019-2022
BGI Group (China)
2021
Alpha Universe
2019
Abstract To convert intentions into actions, movement instructions must pass from the brain to downstream motor circuits through descending neurons (DNs). These include small sets of command-like that are sufficient drive behaviours 1 —the circuit mechanisms for which remain unclear. Here we show DNs in Drosophila directly recruit networks additional orchestrate require active control numerous body parts. Specifically, found previously thought alone 2–4 fact co-activate larger populations...
Abstract Cover crops have critical significance for agroecosystem sustainability and long been promoted in the U.S. Midwest. Knowledge of cover cropping variations impacts government policies remains very limited. We developed an accurate cost‐effective approach utilizing satellite fusion data, environmental variables, machine learning to quantify corn soybean fields from 2000 2021 found that crop adoption most counties was stagnant 2011, but has significantly increased 2011 2021. The is...
Field boundary data is often required to access digital agricultural services and tools that assist with field-level assessment monitoring. In addition, policy-makers researchers need field boundaries accurately assess food security impacts on climate change. Thus, scalable efficient automatic detection algorithms satellite images have direct, important implications for many stakeholders. Deep learning one approach has been successfully applied in recent years detection. Qualitatively...
Nitrogen (N) fertilizer management is one of the main concerns for precision agriculture under corn production, which aims to not only maximize profits, but also ensure environmental sustainability. Effective N can either avoid stress or provide timely and accurate detection in-season remedies. Traditional trial experiments evaluate different practices have wait until harvest, do allow tracking when how develops. Meanwhile, rapidly developed remote sensing technology offers new opportunities...
The scale of ongoing and future electromagnetic surveys pose formidable challenges to classify astronomical objects. Pioneering efforts on this front include citizen science campaigns adopted by the Sloan Digital Sky Survey (SDSS). SDSS datasets have been recently used train neural network models galaxies in Dark Energy (DES) that overlap footprint both surveys. Herein, we demonstrate knowledge from deep learning algorithms, pre-trained with real-object images, can be transferred DES...
Abstract. With increasing crop water demands and drought threats, mapping monitoring of cropland evapotranspiration (ET) at high spatial temporal resolutions become increasingly critical for management sustainability. However, estimating ET from satellites precise resource is still challenging due to the limitations in both existing models satellite input data. Specifically, process complex difficult model, remote-sensing data could not fulfill space time. To address above two issues, this...
Abstract Discovering principles underlying the control of animal behavior requires a tight dialogue between experiments and neuromechanical models. Until now, such models, including NeuroMechFly for adult fly, Drosophila melanogaster , have primarily been used to investigate motor control. Far less studied with realistic body models is how brain systems work together perform hierarchical sensorimotor Here we present v2, framework that expands modeling by enabling visual olfactory sensing,...
We determine the mass-ratio, eccentricity and binary inclination angles that maximize contribution of higher-order waveform multipoles $(\ell, \, |m|)= \{(2,\,2),\, (2,\,1),\, (3,\,3),\, (3,\,2), (3,\,1),\, (4,\,4),\, (4,\,3),\, (4,\,2),\,(4,\,1)\}$ for gravitational wave detection eccentric black hole mergers. carry out this study using numerical relativity waveforms describe non-spinning binaries with mass-ratios $1\leq q \leq 10$, orbital eccentricities as high $e_0=0.18$ fifteen cycles...
Remote sensing datasets with both high spatial and temporal resolution are critical for monitoring modeling the dynamics of land surfaces. However, no current satellite sensor could simultaneously achieve revisiting frequency. Therefore, integration different sources data to produce a fusion product has become popular solution address this challenge. Many methods have been proposed generate synthetic images rich details frequency by combining two types datasets—usually frequent...
With the development in agricultural mechanization and information technology, orchard machinery is also constantly pursuing goal of intelligence efficiency. Fruit picking most labor-intensive part harvesting process. In order to resolve problems high labor intensity, low efficiency, shortage when dwarf high-density orchards, an automatic navigation fruit-picking platform with voice control was developed present study. First, utilized a voice-controlled high-level extendable working...
Detecting and masking cloud shadow from satellite remote sensing images is a pervasive problem in the community. Accurate efficient detection of an essential step to harness value remotely sensed data for almost all downstream analysis. DeepMask, new algorithm optical imagery, proposed this study. DeepMask utilizes ResNet, deep convolutional neural network, pixel-level mask generation. The trained evaluated on Landsat 8 Cloud Cover Assessment Validation Dataset distributed across different...
Abstract To transform intentions into actions, movement instructions must pass from the brain to downstream motor circuits through descending neurons (DNs). These include small sets of command-like that are sufficient drive behaviors—the circuit mechanisms for which remain unclear. Here, we show DNs in Drosophila directly recruit networks additional orchestrate flexible behaviors. Specifically, found optogenetic activation previously thought behaviors alone fact co-activate larger...
Cover crops have critical significance for agroecosystem sustainability and been long promoted in the U.S. Midwest. Knowledge of variations cover cropping impacts government policies remains very limited. We developed an accurate cost-effective approach utilizing multi-source satellite fusion data, environmental variables, machine learning to quantify corn soybean fields from 2000 2021 found that crop adoption most counties has significantly increased recent 11 years 2011 2021. The...
Abstract. With increasing crop water demands and drought threats, mapping monitoring of cropland evapotranspiration (ET) at high spatial temporal resolutions becomes increasingly critical for management sustainability. However, estimating ET from satellite precise resources is still challenging due to the limitations in both existing models input data. Specifically, process complex difficult model, remote sensing data could not fulfill space time. To address above two issues, this study...
Abstract During the drum screening of Fritillaria ussuriensis Maxim (FUM), collisions between FUM bulbs are main cause mechanical damage. The effects mass relationship and position, direction, height collision on absorbed energy mass–loss ratio were analyzed through tests. results constructed regression models showed that direction has no significant effect ratio, whereas significance. Under different relationships, positions positively correlated with is also ratio. In addition, influence...
Urban public parks can provide convenience for residents to get close nature and places daily ecosystem services. It is of practical theoretical significance choose urban as the entry point explore changing trends supply paths residents’ service consumption. Based on government ‘s research? in Beijing from 1993 2018, this study explores services consumption demands contributions park constructions these demands. The results show that: (1) past 25 years, frequency, duration, participation...
Abstract Background The evolution of parasites is often directly affected by the host's environment. Studies on same in different hosts are extremely attractive and highly relevant to our understanding divergence speciation. Methods Here we performed whole genome sequencing Parascaris univalens from Equus (horses, zebras donkeys). Phylogenetic selection analysis was study adaptability P. . Results At genetic level, multiple lines evidence support that were mainly separated into two clades...