AIMC Topic: Plant Roots

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As good as human experts in detecting plant roots in minirhizotron images but efficient and reproducible: the convolutional neural network "RootDetector".

Scientific reports Jan 25, 2023
Plant roots influence many ecological and biogeochemical processes, such as carbon, water and nutrient cycling. Because of difficult accessibility, knowledge on plant root growth dynamics in field conditions, however, is fragmentary at best. Minirhiz...
Humans Neural Networks, Computer Carbon Plant Roots Soil Reproducibility of Results
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Estimation of Greenhouse Lettuce Growth Indices Based on a Two-Stage CNN Using RGB-D Images.

Sensors (Basel, Switzerland) Jul 23, 2022
Growth indices can quantify crop productivity and establish optimal environmental, nutritional, and irrigation control strategies. A convolutional neural network (CNN)-based model is presented for estimating various growth indices (i.e., fresh weight...
Lactuca Humans Plant Leaves Neural Networks, Computer Plant Roots
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Deep-learning-based removal of autofluorescence and fluorescence quantification in plant-colonizing bacteria in vivo.

The New phytologist Jul 20, 2022
Fluorescence microscopy is common in bacteria-plant interaction studies. However, strong autofluorescence from plant tissues impedes in vivo studies on endophytes tagged with fluorescent proteins. To solve this problem, we developed a deep-learning-b...
Fluorescence Deep Learning Plant Roots Nitrogen Fixation Endophytes
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An insight into the act of iron to impede arsenic toxicity in paddy agro-system.

Journal of environmental management May 20, 2022
Surplus research on the widespread arsenic (As) revealed its disturbing role in obstructing the metabolic function of plants. Also, the predilection of As towards rice has been an interesting topic. Contrary to As, iron (Fe) is an essential micronutr...
Soil Arsenic Prospective Studies Plant Roots Oryza Soil Pollutants Iron
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Deep learning-based quantification of arbuscular mycorrhizal fungi in plant roots.

The New phytologist Sep 16, 2021
Soil fungi establish mutualistic interactions with the roots of most vascular land plants. Arbuscular mycorrhizal (AM) fungi are among the most extensively characterised mycobionts to date. Current approaches to quantifying the extent of root colonis...
Plant Roots Fungi Deep Learning Lotus Mycorrhizae Symbiosis Glomeromycota
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Simultaneous Direct Depth Estimation and Synthesis Stereo for Single Image Plant Root Reconstruction.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society May 11, 2021
Plant roots are the main conduit to its interaction with the physical and biological environment. A 3D root system architecture can provide fundamental and applied knowledge of a plant's ability to thrive, but the construction of 3D structures for th...
Image Processing, Computer-Assisted Plant Roots Imaging, Three-Dimensional Algorithms Deep Learning
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Fast discrimination and quantification analysis of Curcumae Radix from four botanical origins using NIR spectroscopy coupled with chemometrics tools.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 26, 2021
Curcumae Radix (Yujin) is a multi-origin herbal medicine with excellent clinical efficacy. For fast discrimination and quantification analysis of Yujin from four botanical origins (Guiyujin, Huangyujin, Lvyujin and Wenyujin), near infrared (NIR) spec...
Least-Squares Analysis Spectroscopy, Near-Infrared Support Vector Machine Principal Component Analysis Plant Roots
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A new diarylhexane and two new diarylpropanols from the roots of .

Natural product research Sep 16, 2020
A new diarylhexane, kneglobularone B () and two new diarylpropanols, kneglobularols A - B () along with seven known compounds () were isolated and characterized from the roots of It is the first time to find arylpropyl quinone () and isoflavone () i...
Plantaginaceae MCF-7 Cells Cell Line, Tumor Humans Plant Roots Molecular Structure Plant Extracts Myristicaceae
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Investigating plant uptake of organic contaminants through transpiration stream concentration factor and neural network models.

The Science of the total environment Aug 24, 2020
Uptake of seven organic contaminants including bisphenol A, estriol, 2,4-dinitrotoluene, N,N-diethyl-meta-toluamide (DEET), carbamazepine, acetaminophen, and lincomycin by tomato (Solanum lycopersicum L.), corn (Zea mays L.), and wheat (Triticum aest...
Triticum Solanum lycopersicum Plant Roots Neural Networks, Computer Biological Transport Zea mays Plant Transpiration
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Integrated artificial neural network analysis and functional cell based affinity mass spectrometry for screening a bifunctional activator of Ca and βAR in aconite.

Journal of pharmaceutical and biomedical analysis Aug 1, 2020
Arrhythmia, a common heart disease, is an abnormal frequency or rhythm of heartbeat caused by the origin or conduction obstacle of the heart. Aconite (Fuzi) has been regarded as an effective cardiotonic agent in traditional Chinese medicine (TCM), bu...
Alkaloids Plant Roots Aconitum Neural Networks, Computer Drugs, Chinese Herbal Mass Spectrometry
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