AIMC Topic: Solanum lycopersicum

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A machine-learning-powered spectral-dominant multimodal soft wearable system for long-term and early-stage diagnosis of plant stresses.

Science advances Jun 27, 2025
Addressing the global malnutrition crisis requires precise and timely diagnostics of plant stresses to enhance the quality and yield of nutrient-rich crops, such as tomatoes. Soft wearable sensors offer a promising approach by continuously monitoring...
Plant Leaves Solanum lycopersicum Stress, Physiological Machine Learning Wearable Electronic Devices
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Semi-automated high content analysis of pollen performance using tubetracker.

Plant reproduction Jun 16, 2025
TubeTracker provides a method to partially automate analysis of pollen tube growth using live imaging. Pollen function is critical for successful plant reproduction and crop productivity and it is important to develop accessible methods to quantitati...
Pollen Pollen Tube Germination Software Solanum lycopersicum Image Processing, Computer-Assisted
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Optimized convolutional neural networks for real-time detection and severity assessment of early blight in tomato (Solanum lycopersicum L.).

Fungal genetics and biology : FG & B Apr 24, 2025
Early blight, caused by Alternaria alternata, poses a critical challenge to tomato (Solanum lycopersicum L.) production, causing significant yield losses worldwide. Despite advancements in plant disease detection, existing methods often lack the robu...
Neural Networks, Computer Convolutional Neural Networks Plant Leaves Alternaria Solanum lycopersicum Plant Diseases
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Deep learning based ensemble model for accurate tomato leaf disease classification by leveraging ResNet50 and MobileNetV2 architectures.

Scientific reports Apr 22, 2025
Global food security depends on tomato growing, but several fungal, bacterial, and viral illnesses seriously reduce productivity and quality, therefore causing major financial losses. Reducing these impacts depends on early, exact diagnosis of diseas...
Plant Leaves Solanum lycopersicum Plant Diseases Deep Learning
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Efficient deep learning-based tomato leaf disease detection through global and local feature fusion.

BMC plant biology Mar 11, 2025
In the context of intelligent agriculture, tomato cultivation involves complex environments, where leaf occlusion and small disease areas significantly impede the performance of tomato leaf disease detection models. To address these challenges, this ...
Deep Learning Plant Leaves Solanum lycopersicum Plant Diseases
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GPC-YOLO: An Improved Lightweight YOLOv8n Network for the Detection of Tomato Maturity in Unstructured Natural Environments.

Sensors (Basel, Switzerland) Feb 28, 2025
Effective fruit identification and maturity detection are important for harvesting and managing tomatoes. Current deep learning detection algorithms typically demand significant computational resources and memory. Detecting severely stacked and obscu...
Deep Learning Neural Networks, Computer Solanum lycopersicum Fruit Algorithms
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Rapid detection and quantitative analysis of thiram in fruits using a shape-adaptable flexible SERS substrate combined with deep learning.

Analytical methods : advancing methods and applications Feb 20, 2025
Ensuring food safety necessitates rapid identification of pesticide residues on fruits. Herein, we developed a shape-adaptable flexible surface-enhanced Raman scattering (SERS) substrate, combined with a deep learning algorithm, to quickly detect and...
Blueberry Plants Thiram Solanum lycopersicum Fruit Dimethylpolysiloxanes Pesticide Residues Metal Nanoparticles Silver Deep Learning Spectrum Analysis, Raman Neural Networks, Computer Reproducibility of Results
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Development of a handheld GPU-assisted DSC-TransNet model for the real-time classification of plant leaf disease using deep learning approach.

Scientific reports Jan 28, 2025
In agriculture, promptly and accurately identifying leaf diseases is crucial for sustainable crop production. To address this requirement, this research introduces a hybrid deep learning model that combines the visual geometric group version 19 (VGG1...
Solanum lycopersicum Plant Diseases Deep Learning Plant Leaves Vitis Capsicum Image Processing, Computer-Assisted
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Cropformer: An interpretable deep learning framework for crop genomic prediction.

Plant communications Dec 16, 2024
Machine learning and deep learning are extensively employed in genomic selection (GS) to expedite the identification of superior genotypes and accelerate breeding cycles. However, a significant challenge with current data-driven deep learning models ...
Genome, Plant Genotype Plant Breeding Oryza Triticum Zea mays Phenotype Crops, Agricultural Solanum lycopersicum Deep Learning Genomics Polymorphism, Single Nucleotide
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Comprehensive Investigation of Machine Learning and Deep Learning Networks for Identifying Multispecies Tomato Insect Images.

Sensors (Basel, Switzerland) Dec 9, 2024
Deep learning applications in agriculture are advancing rapidly, leveraging data-driven learning models to enhance crop yield and nutrition. Tomato (), a vegetable crop, frequently suffers from pest damage and drought, leading to reduced yields and f...
Solanum lycopersicum Insecta Algorithms Image Processing, Computer-Assisted Agriculture Animals Neural Networks, Computer Deep Learning Machine Learning
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