Chao Chen

ORCID: 0000-0001-9533-7340
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Research Areas
  • Plant Stress Responses and Tolerance
  • Smart Agriculture and AI
  • Ruminant Nutrition and Digestive Physiology
  • Plant nutrient uptake and metabolism
  • Irrigation Practices and Water Management
  • Soil Carbon and Nitrogen Dynamics
  • Greenhouse Technology and Climate Control
  • Plant Molecular Biology Research
  • Plant responses to water stress
  • Plant Parasitism and Resistance
  • Allelopathy and phytotoxic interactions
  • Phytochemistry and Biological Activities
  • Plant-Microbe Interactions and Immunity
  • Leaf Properties and Growth Measurement
  • Tree Root and Stability Studies
  • GABA and Rice Research
  • Genomics and Phylogenetic Studies
  • Molecular Biology Techniques and Applications
  • Plant Surface Properties and Treatments
  • Plant Physiology and Cultivation Studies
  • Remote Sensing and LiDAR Applications
  • Horticultural and Viticultural Research
  • Climate change impacts on agriculture
  • Photosynthetic Processes and Mechanisms
  • Date Palm Research Studies

Monash University
2019-2025

Guiyang Medical University
2020-2025

Chengdu University of Traditional Chinese Medicine
2022-2025

Xishuangbanna Tropical Botanical Garden
2022-2025

Chinese Academy of Sciences
2014-2025

Harbin Normal University
2020-2025

Anhui University of Science and Technology
2025

Anhui Science and Technology University
2025

Anhui Academy of Agricultural Sciences
2025

Tianjin Hospital
2025

10.1016/j.compag.2019.105108 article EN Computers and Electronics in Agriculture 2019-11-27

10.1016/j.compag.2020.105302 article EN Computers and Electronics in Agriculture 2020-03-17

Abstract Intelligent robots for fruit harvesting have been actively developed over the past decades to bridge increasing gap between feeding a rapidly growing population and limited labour resources. Despite significant advancements in this field, widespread use of orchards is yet be seen. To identify challenges formulate future research development directions, work reviews state-of-the-art intelligent by comparing their system architectures, visual perception approaches, detachment methods...

10.1007/s11119-022-09913-3 article EN cc-by Precision Agriculture 2022-06-02

Robotic harvesting shows a promising aspect in future development of agricultural industry. However, there are many challenges which still presented the fully functional robotic system. Vision is one most important keys among these challenges. Traditional vision methods always suffer from defects accuracy, robustness, and efficiency real implementation environments. In this work, deep learning-based method for autonomous apple developed evaluated. The includes light-weight one-stage...

10.3390/s20195670 article EN cc-by Sensors 2020-10-04

Dye-decolorizing peroxidases (DyPs) comprise a new family of heme peroxidases, which has received much attention due to their potential applications in lignin degradation. A DyP from Thermomonospora curvata (TcDyP) was identified and characterized. Unlike other A-type enzymes, TcDyP is highly active toward wide range substrates including model compounds, the catalytic efficiency with ABTS (kcatapp/Kmapp = (1.7 × 107) m−1 s−1) close that fungal DyPs. Stopped-flow spectroscopy employed...

10.1074/jbc.m115.658807 article EN cc-by Journal of Biological Chemistry 2015-07-24

Visual perception and modelling are essential tasks in many vision-dependent robotic tasks. This work presents a vision system to perform fruit recognition, modelling, environment for autonomous apple harvesting. The recognition applies deep-learning model Dasnet detection segmentation on fruits, branches. Fruit localises the centre computes grasp pose of each based Hough Transform. Environment adopts Octrees represent occupied space within working robot. robot control path guide manipulator...

10.1109/access.2020.2984556 article EN cc-by IEEE Access 2020-01-01

Accurate fruit localization plays an essential role in many agricultural tasks and is one of the most vital components autonomous harvesting robot. Although stationary conditions has been extensively studied, method to perform dynamic rarely studied. Fruit under much more challenging, since movement will introduce continuously irregular ego-motion on visual sensors, which can lead considerable accuracy degeneration or even system failure. However, task it significantly improve efficiency. In...

10.1016/j.compag.2023.107834 article EN cc-by-nc-nd Computers and Electronics in Agriculture 2023-04-21

The epiphytic microbiota source on plants plays a crucial role in the production of high-quality silage. To gain better understanding its contribution, alfalfa (M1C0), corn (M0C1) and resulting mixture (M1C1) was applied alfalfa-corn mixed silage system. M1C0 decreased ammonia-N levels terms total nitrogen (57.59-118.23 g/kg TN) pH (3.59-4.40) values (

10.3389/fmicb.2023.1247254 article EN cc-by Frontiers in Microbiology 2024-04-02

Basic leucine zipper (bZIP) transcription factor plays an important role in various biological processes, such as response to biotic and abiotic stresses. In this study we performed a systematic investigation analysis of bZIP gene family Gossypium hirsutum predict their functions different A total 207 genes were identified from genome classified into 13 subfamilies through phylogenetic analysis, which was testified by the conserved motifs exon-intron structures. Annotation GHbZIPs based on...

10.1016/j.ijbiomac.2020.01.013 article EN cc-by-nc-nd International Journal of Biological Macromolecules 2020-01-07

The shortage of agricultural labourers worldwide has left many groups unharvested and wasted, which motivates researchers to research fruit harvesting robots extensively. One the major problems in is selectively avoid hard obstacles such as tree branches so that more optimal picking positions can be found fruits throughout harvested. However, are often obscured unstructured natural orchards thus necessary branch reconstruction recovery required. current methods for focus on planar with few...

10.1016/j.compag.2023.107884 article EN cc-by-nc-nd Computers and Electronics in Agriculture 2023-05-09

Abstract Background With its high nutritional value and productivity, Italian ryegrass as a biomass feedstock constantly supplies rumen degradable nitrogen digestible fiber to ruminants. However, biofuel production is easily reduced during ensiling due the high-moisture content of ryegrass, leading economic losses. Lactic acid bacteria inoculants could improve lignocellulosic degradation fermentation quality decrease dry matter loss bioprocessing silage. Therefore, this study analyzed...

10.1186/s13068-023-02346-8 article EN cc-by Biotechnology for Biofuels and Bioproducts 2023-05-27

Calcium, as the most widely accepted messenger, plays an important role in plant stress responses through calcium-dependent signaling pathways. The calmodulin-like family genes (CMLs) encode Ca2+ sensors and function transduction response to environmental stimuli. However, until now, of CML proteins, especially soybean CMLs, is largely unknown. Here, we isolated a Glycine soja protein GsCML27, with four conserved EF-hands domains, identified it calcium-binding far-UV CD spectroscopy. We...

10.1371/journal.pone.0141888 article EN cc-by PLoS ONE 2015-11-09

Wild soybean (Glycine soja) is a highly adaptive plant species which can grow well in saline-alkaline soils. In genome, there exist about 140 HD-Zip (Homeodomain-leucine Zipper) genes. transcription factor family one of the largest specific superfamilies and plays important roles response to abiotic stresses. Although factors have been broadly reported be involved resistance stresses like salt drought, their bicarbonate stress largely unknown.From our previous transcriptome profile analysis...

10.1186/s12870-016-0872-7 article EN cc-by BMC Plant Biology 2016-08-24
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