Keru Wang

ORCID: 0000-0003-2769-5669
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About
Contact & Profiles
Research Areas
  • Remote Sensing in Agriculture
  • Crop Yield and Soil Fertility
  • Remote Sensing and Land Use
  • Leaf Properties and Growth Measurement
  • Agricultural Engineering and Mechanization
  • Smart Agriculture and AI
  • Spectroscopy and Chemometric Analyses
  • Greenhouse Technology and Climate Control
  • Augmented Reality Applications
  • Interactive and Immersive Displays
  • Remote Sensing and LiDAR Applications
  • Genetics and Plant Breeding
  • Virtual Reality Applications and Impacts
  • Computer Graphics and Visualization Techniques
  • Water Quality Monitoring and Analysis
  • Food composition and properties
  • Human Motion and Animation
  • Soil Geostatistics and Mapping
  • Image and Video Quality Assessment
  • Multimodal Machine Learning Applications
  • Visual Attention and Saliency Detection
  • Tactile and Sensory Interactions
  • Mental Health via Writing
  • Soft Robotics and Applications
  • Emotion and Mood Recognition

New York University
2021-2024

Institute of Crop Sciences
2007-2023

Chinese Academy of Agricultural Sciences
2007-2023

Ministry of Agriculture and Rural Affairs
2020-2023

Courant Institute of Mathematical Sciences
2023

Tianjin Normal University
2022

University of Chinese Academy of Sciences
2020

Zhaotong University
2015

Xinjiang Production and Construction Corps
2008-2012

Shihezi University
2008-2011

The high harvest losses associated with the mechanical harvesting of maize in China are currently a major barrier to adoption this technology. This paper summarizes works literature regarding from combine and abroad. main findings as follows: (1) In 2012-2019, 2987 samples data obtained production areas showed that average loss was 345.2 kg/hm2 (3.5% yield), ranging 0 9288.5 kg/hm2; (2) mainly caused by dropping ears. ear include pre-harvest abscission, damage borer, lodging, during...

10.25165/j.ijabe.20211401.6034 article EN cc-by International journal of agricultural and biological engineering 2021-01-01

High spatial or spectral resolution remote sensing might be an efficient method for estimating Verticillium wilt incidence in cotton. The objectives of this study were to characterize leaf spectra and the physiological biochemical parameters cotton (Gossypium hirsutum) damaged by dahliae Kleb. (simply, Verticillium) determine wavelengths those leaves that most responsive with develop a model predict severity levels (SLs) through evaluation SLs at different growth stages using reflectance...

10.1080/01431161.2011.619586 article EN International Journal of Remote Sensing 2011-10-10

Communication software such as Clubhouse and Zoom has evolved to be an integral part of many people's daily lives. However, due network bandwidth constraints concerns about privacy, cameras in video conferencing are often turned off by participants. This leads a situation which people can only see each others' profile images, is essentially audio-only experience. Even when switched on, feeds do not provide accurate cues who talking whom. paper introduces GazeChat, remote communication system...

10.1145/3472749.3474785 article EN 2021-10-10

A high grain moisture content at harvest has been an important problem in the latitude region of Northeast China, and it is closely related to genotypes varieties, local meteorological factors planting management. However, delayed a low temperature could not effectively reduce content. In this study, we continuously observed drying during late stage different maturing types maize varieties Daqing, Heilongjiang Province, China 2016 2017. two-segment linear model was used analyze stages...

10.1016/s2095-3119(20)63434-7 article EN cc-by-nc-nd Journal of Integrative Agriculture 2022-01-04

Applications of unmanned aerial vehicle (UAV) spectral systems in precision agriculture require raw image data to be converted reflectance produce time-consistent, atmosphere-independent images. Complex light environments, such as those caused by varying weather conditions, affect the accuracy conversion. An experiment was conducted here compare several target radiance correction methods, namely pre-calibration reference panel (pre-CRP), downwelling sensor (DLS), and a novel method,...

10.3390/drones7040223 article EN cc-by Drones 2023-03-23

The most significant problem of maize grain mechanical harvesting quality in China at present is the high breakage rate (BR). BR often key characteristic that measured to select hybrids desirable for harvesting. However, conventional evaluation and measurement methods have challenges limitations. Microstructural crack parameters kernel great importance BR. In this connection, X-ray computed microtomography (μ-CT) has proven be a quite useful method assessment microstructure, as it provides...

10.1016/s2095-3119(20)63230-0 article EN cc-by-nc-nd Journal of Integrative Agriculture 2020-10-14

The high harvest losses associated with the mechanical harvesting of maize in China are currently a major barrier to adoption this technology. This paper summarizes works literature regarding from combine and abroad. main findings as follows: (1) In 2012-2019, 2987 samples data obtained production areas showed that average loss was 345.2 kg/hm2 (3.5% yield), ranging 0 9288.5 kg/hm2; (2) mainly caused by dropping ears. ear include pre-harvest abscission, damage borer, lodging, during...

10.25165/ijabe.v14i1.6034 article EN International journal of agricultural and biological engineering 2021-02-10

Field harvest loss is a common problem of maize grain mechanical harvesting in China and abroad. From 2012 to 2019, 2987 groups samples for the quality field were obtained 21 major maize-producing provinces, cities, regions China. The analysis performed this study showed that average fallen ears was equivalent 76.5% total loss, indicating mainly came from ears. Meanwhile, statistical different ranges moisture contents that, when content fell below 20%, rate both increased sharply, faster...

10.25165/j.ijabe.20211401.6036 article EN International journal of agricultural and biological engineering 2021-01-01

High grain breakage rate is the main limiting factor encountered in mechanical harvest of maize grain. X-ray micro-computed tomography (μCT) scanning technology could be used to obtain three-dimensional structure Currently, effect on rate, determined using μCT technology, has not been reported. Therefore, objectives this study are: (i) shape, geometry, and structural parameters related technology; (ii) explore relationships between these rate.In study, 28 were technology. The was mainly...

10.1186/s13007-019-0538-1 article EN cc-by Plant Methods 2019-12-01

A high grain breakage rate is the main problem that occurs during mechanical maize harvest in China. The sensitivity of different varieties was significantly different, and resistance heritable. Therefore, resistant variety screening can help improve field production efficiency provide references for breeding work. In this study, 42 were harvested with same parameters manipulator on a range dates at experimental stations Xinxiang, Henan Province, 2017 Changji, Xinjiang 2018 to determine...

10.25165/j.ijabe.20201305.6037 article EN cc-by International journal of agricultural and biological engineering 2020-01-01
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