AIMC Topic: Seedlings

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Allelopathic effects of six alfalfa varieties at three stubbles on the germination, seedling and root growth of green foxtail and barnyardgrass.

PloS one Dec 23, 2024
Alfalfa (Medicago sativa) is known to release allelopathic substances to affect the germination and growth of other plants, which have the potential to be applied in controlling weeds. Green foxtail (Setaria viridis) and barnyardgrass (Echinochloa cr...
Plant Roots Germination Plant Extracts Allelopathy Seedlings Echinochloa Medicago sativa Setaria Plant Plant Weeds
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Deep learning-based association analysis of root image data and cucumber yield.

The Plant journal : for cell and molecular biology Jan 9, 2024
The root system is important for the absorption of water and nutrients by plants. Cultivating and selecting a root system architecture (RSA) with good adaptability and ultrahigh productivity have become the primary goals of agricultural improvement. ...
Deep Learning Plant Roots Crops, Agricultural Cucumis sativus Image Processing, Computer-Assisted Seedlings
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Leveraging three-tier deep learning model for environmental cleaner plants production.

Scientific reports Nov 9, 2023
The world's population is expected to exceed 9 billion people by 2050, necessitating a 70% increase in agricultural output and food production to meet the demand. Due to resource shortages, climate change, the COVID-19 pandemic, and highly harsh soci...
Seeds Seedlings Deep Learning Agriculture Humans Pandemics
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Screening the phytotoxicity of micro/nanoplastics through non-targeted metallomics with synchrotron radiation X-ray fluorescence and deep learning: Taking micro/nano polyethylene terephthalate as an example.

Journal of hazardous materials Oct 28, 2023
Microplastics (MPs) and nanoplastics (NPs) are global pollutants with emerging concerns. Methods to predict and screen their toxicity are crucial. Elemental dyshomeostasis can be used to assess toxicity of environmental pollutants. Non-targeted metal...
Humans Fluorescence Deep Learning X-Rays Polyethylene Terephthalates Microplastics Environmental Pollutants Seedlings Synchrotrons Polyethylene Plastics
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Efficient reduction of Cr(VI) by guava (Psidium guajava) leaf extract and its mitigation effect on Cr toxicity in rice seedlings.

Journal of environmental sciences (China) Jul 4, 2023
Hexavalent chromium (Cr(VI)) is a toxic element that has negative impacts on crop growth and yield. Using plant extracts to convert toxic Cr(VI) into less toxic Cr(III) may be a more favorable option compared to chemical reducing agents. In this stud...
Seedlings Chromium Antioxidants Psidium Oryza Plant Extracts
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Detection of Defective Lettuce Seedlings Grown in an Indoor Environment under Different Lighting Conditions Using Deep Learning Algorithms.

Sensors (Basel, Switzerland) Jun 21, 2023
Sorting seedlings is laborious and requires attention to identify damage. Separating healthy seedlings from damaged or defective seedlings is a critical task in indoor farming systems. However, sorting seedlings manually can be challenging and time-c...
Algorithms Deep Learning Seedlings Humans Lighting Lactuca
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Enhancing the Tracking of Seedling Growth Using RGB-Depth Fusion and Deep Learning.

Sensors (Basel, Switzerland) Dec 17, 2021
The use of high-throughput phenotyping with imaging and machine learning to monitor seedling growth is a tough yet intriguing subject in plant research. This has been recently addressed with low-cost RGB imaging sensors and deep learning during day t...
Machine Learning Deep Learning Seedlings
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A novel strategy to uncover specific GO terms/phosphorylation pathways in phosphoproteomic data in Arabidopsis thaliana.

BMC plant biology Dec 14, 2021
BACKGROUND: Proteins are the workforce of the cell and their phosphorylation status tailors specific responses efficiently. One of the main challenges of phosphoproteomic approaches is to deconvolute biological processes that specifically respond to ...
RNA, Plant Gene Ontology Genes, Plant Arabidopsis Proteins Arabidopsis RNA Splicing RNA, Messenger Seedlings Proteome Phosphoproteins Microtubules Databases, Protein Phosphorylation
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Weed Classification Using Explainable Multi-Resolution Slot Attention.

Sensors (Basel, Switzerland) Oct 9, 2021
In agriculture, explainable deep neural networks (DNNs) can be used to pinpoint the discriminative part of weeds for an imagery classification task, albeit at a low resolution, to control the weed population. This paper proposes the use of a multi-la...
Seedlings Plant Weeds Neural Networks, Computer Attention Agriculture
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Robotic Assay for Drought (RoAD): an automated phenotyping system for brassinosteroid and drought responses.

The Plant journal : for cell and molecular biology Aug 10, 2021
Brassinosteroids (BRs) are a group of plant steroid hormones involved in regulating growth, development, and stress responses. Many components of the BR pathway have previously been identified and characterized. However, BR phenotyping experiments ar...
Triazoles Droughts Arabidopsis Brassinosteroids Arabidopsis Proteins Zea mays Equipment Design Protein Kinases Robotics Seedlings Phenotype Machine Learning Soil Image Processing, Computer-Assisted
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