AIMC Topic: Solanum lycopersicum

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Determination of soluble solids content in tomatoes with different nitrogen levels based on hyperspectral imaging technique.

Journal of food science Aug 13, 2024
Tomato is sweet and sour with high nutritional value, and soluble solids content (SSC) is an important indicator of tomato flavor. Due to the different mechanisms of nitrogen uptake and assimilation in plants, exogenous supply of different forms of n...
Neural Networks, Computer Solanum lycopersicum Nutritive Value Hyperspectral Imaging Fertilizers Nitrogen Fruit
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Enhancing practicality of deep learning for crop disease identification under field conditions: insights from model evaluation and crop-specific approaches.

Pest management science Jul 19, 2024
BACKGROUND: Crop diseases can lead to significant yield losses and food shortages if not promptly identified and managed by farmers. With the advancements in convolutional neural networks (CNN) and the widespread availability of smartphones, automate...
Malus Solanum lycopersicum Crops, Agricultural Plant Diseases Deep Learning Solanum tuberosum
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Deep learning-based prediction of plant height and crown area of vegetable crops using LiDAR point cloud.

Scientific reports Jun 28, 2024
Remote sensing has been increasingly used in precision agriculture. Buoyed by the developments in the miniaturization of sensors and platforms, contemporary remote sensing offers data at resolutions finer enough to respond to within-farm variations. ...
Vegetables Crops, Agricultural Remote Sensing Technology Solanum lycopersicum Solanum melongena India Agriculture Deep Learning
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Evaluation of a Voltametric E-Tongue Combined with Data Preprocessing for Fast and Effective Machine Learning-Based Classification of Tomato Purées by Cultivar.

Sensors (Basel, Switzerland) Jun 2, 2024
The potential of a voltametric E-tongue coupled with a custom data pre-processing stage to improve the performance of machine learning techniques for rapid discrimination of tomato purées between cultivars of different economic value has been investi...
Gold Metal Nanoparticles Discriminant Analysis Machine Learning Bridged Bicyclo Compounds, Heterocyclic Electronic Nose Solanum lycopersicum Electrodes Copper Polymers
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Growth period determination and color coordinates visual analysis of tomato using hyperspectral imaging technology.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 28, 2024
Growth period determination and color coordinates prediction are essential for comparing postharvest fruit quality. This paper proposes a tomato growth period judgment and color coordinates prediction model based on hyperspectral imaging technology. ...
Hyperspectral Imaging Linear Models Solanum lycopersicum Fruit Discriminant Analysis Color Algorithms Principal Component Analysis Least-Squares Analysis Support Vector Machine
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Deep learning the cis-regulatory code for gene expression in selected model plants.

Nature communications Apr 25, 2024
Elucidating the relationship between non-coding regulatory element sequences and gene expression is crucial for understanding gene regulation and genetic variation. We explored this link with the training of interpretable deep learning models predict...
Deep Learning Zea mays Genetic Variation Sorghum Solanum lycopersicum Regulatory Sequences, Nucleic Acid Gene Expression Regulation, Plant Arabidopsis Species Specificity Genome, Plant
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Development of Multimodal Fusion Technology for Tomato Maturity Assessment.

Sensors (Basel, Switzerland) Apr 11, 2024
The maturity of fruits and vegetables such as tomatoes significantly impacts indicators of their quality, such as taste, nutritional value, and shelf life, making maturity determination vital in agricultural production and the food processing industr...
Solanum lycopersicum Fruit Deep Learning Color Neural Networks, Computer Spectroscopy, Near-Infrared
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Modelling tomato pericarp microstructure as force control reference for harvesting robot.

Journal of the science of food and agriculture Mar 25, 2024
BACKGROUND: The harvest of fruit can be significantly advanced with the thriving development of intelligent and automated robot technologies. Nevertheless, the picking success rate of tomato fruit still requires improvement as some fruits are unexpec...
Algorithms Robotics Food Handling Solanum lycopersicum Fruit
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A Smartphone-Based Detection System for Tomato Leaf Disease Using EfficientNetV2B2 and Its Explainability with Artificial Intelligence (AI).

Sensors (Basel, Switzerland) Oct 24, 2023
The occurrence of tomato diseases has substantially reduced agricultural output and financial losses. The timely detection of diseases is crucial to effectively manage and mitigate the impact of episodes. Early illness detection can improve output, r...
Plant Leaves Solanum lycopersicum Algorithms Smartphone Artificial Intelligence
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AlphaFold-Multimer predicts cross-kingdom interactions at the plant-pathogen interface.

Nature communications Sep 27, 2023
Adapted plant pathogens from various microbial kingdoms produce hundreds of unrelated small secreted proteins (SSPs) with elusive roles. Here, we used AlphaFold-Multimer (AFM) to screen 1879 SSPs of seven tomato pathogens for interacting with six def...
Plant Proteins Endopeptidases Artificial Intelligence Peptide Hydrolases Plant Diseases Solanum lycopersicum
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