AIMC Topic: Solanum lycopersicum

Clear Filters Showing 1 to 10 of 71 articles

Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction.

Scientific reports Aug 9, 2025
Accurate scientific predicting of water requirements for protected agriculture crops is essential for informed irrigation management. The Penman-Monteith model, endorsed by the Food and Agriculture Organization of the United Nations (FAO), is current...
Algorithms Water Machine Learning Crops, Agricultural Agricultural Irrigation Solanum lycopersicum Agriculture
View on PubMed DOI

Integrating Non-Targeted Mass Spectrometry and Machine Learning for the Classification of Organic and Conventionally Grown Agricultural Products: A Case Study on Tomatoes.

Journal of agricultural and food chemistry Jul 24, 2025
Rising demand for organic agricultural products has made the verification of their authenticity a critical concern. Traditional classification approaches for mass spectrometry using full-scan high-resolution mass spectrometry data often emphasize fea...
Fruit Organic Agriculture Food, Organic Mass Spectrometry Machine Learning Solanum lycopersicum
View on PubMed DOI

A comprehensive analysis of YOLO architectures for tomato leaf disease identification.

Scientific reports Jul 24, 2025
Tomato leaf disease detection is critical in precision agriculture for safeguarding crop health and optimizing yields. This study compares the latest YOLO architectures, including YOLOv8, YOLOv9, YOLOv10, YOLOv11, and YOLOv12, using the Tomato-Villag...
Solanum lycopersicum Plant Diseases Plant Leaves
View on PubMed DOI

Optimization of a multi-environmental detection model for tomato growth point buds based on multi-strategy improved YOLOv8.

Scientific reports Jul 16, 2025
Tomato growing points and flower buds serve as vital physiological indicators influencing yield quality, yet their detection remains challenging in complex facility environments. This study develops an improved YOLOv8 model for robust flower bud dete...
Solanum lycopersicum Flowers Agriculture Environment Algorithms
View on PubMed DOI

Integrating AI and CRISPR Cas13a for rapid detection of tomato brown rugose fruit virus.

Scientific reports Jul 14, 2025
The Tomato Brown Rugose Fruit Virus (ToBRFV) has recently emerged as a serious threat to global tomato production, underscoring the need for rapid and sensitive diagnostic tools. Here, we present an AI-driven CRISPR-Cas13a pipeline for designing crRN...
Plant Diseases Plant Viruses Solanum lycopersicum RNA, Viral CRISPR-Cas Systems Computational Biology
View on PubMed DOI

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...
Solanum lycopersicum Plant Leaves Machine Learning Stress, Physiological Wearable Electronic Devices
View on PubMed DOI

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...
Germination Pollen Solanum lycopersicum Software Image Processing, Computer-Assisted Pollen Tube
View on PubMed DOI

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...
Solanum lycopersicum Plant Diseases Plant Leaves Alternaria Convolutional Neural Networks Neural Networks, Computer
View on PubMed DOI

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 Diseases Plant Leaves Solanum lycopersicum Deep Learning
View on PubMed DOI

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 ...
Plant Diseases Deep Learning Plant Leaves Solanum lycopersicum
View on PubMed DOI
Popular Topics
Recent Journals