AIMC Topic: Solanum lycopersicum

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Effective feature selection based HOBS pruned- ELM model for tomato plant leaf disease classification.

PloS one Dec 5, 2024
Tomato cultivation is expanding rapidly, but the tomato sector faces significant challenges from various sources, including environmental (abiotic stress) and biological (biotic stress or disease) threats, which adversely impact the crop's growth, re...
Solanum lycopersicum Algorithms Plant Diseases Deep Learning Neural Networks, Computer Plant Leaves Machine Learning
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Hyperspectral imaging analysis for early detection of tomato bacterial leaf spot disease.

Scientific reports Nov 12, 2024
Recent advancements in hyperspectral imaging (HSI) for early disease detection have shown promising results, yet there is a lack of validated high-resolution (spatial and spectral) HSI data representing the responses of plants at different stages of ...
Machine Learning Plant Leaves Solanum lycopersicum Hyperspectral Imaging Plant Diseases Xanthomonas
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Synergistic use of handcrafted and deep learning features for tomato leaf disease classification.

Scientific reports Nov 5, 2024
This research introduces a Computer-Aided Diagnosis-system designed aimed at automated detections & classification of tomato leaf diseases, combining traditional handcrafted features with advanced deep learning techniques. The system's process encomp...
Deep Learning Image Processing, Computer-Assisted Plant Leaves Neural Networks, Computer Algorithms Solanum lycopersicum Plant Diseases
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TOMMicroNet: Convolutional Neural Networks for Smartphone-Based Microscopic Detection of Tomato Biotic and Abiotic Plant Health Issues.

Phytopathology Oct 30, 2024
The image-based detection and classification of plant diseases has become increasingly important to the development of precision agriculture. We consider the case of tomato, a high-value crop supporting the livelihoods of many farmers around the worl...
Image Processing, Computer-Assisted Smartphone Plant Leaves Neural Networks, Computer Microscopy Solanum lycopersicum Plant Diseases Fruit
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Cuprospinel decorated biopolymer functionalized CNFs based electrocatalytic platform integrated with grid search optimized neural network for detection of vital amino acid in beverages.

Food chemistry Oct 5, 2024
An electrocatalytic platform based on a novel nanocomposite integrated with a grid search-optimized neural network (GSNN) was proposed for intelligent sensing of tryptophan. The cuprospinel-decorated chitosan-functionalized carbon nanofibers (CuFeO/C...
Solanum lycopersicum Beverages Electrodes Catalysis Copper Nanocomposites Fruit and Vegetable Juices Milk Tryptophan Animals Carbon Neural Networks, Computer Nanofibers Chitosan Biopolymers Oxidation-Reduction Electrochemical Techniques Limit of Detection
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Integrating IoT for Soil Monitoring and Hybrid Machine Learning in Predicting Tomato Crop Disease in a Typical South India Station.

Sensors (Basel, Switzerland) Sep 24, 2024
This study develops a hybrid machine learning (ML) algorithm integrated with IoT technology to improve the accuracy and efficiency of soil monitoring and tomato crop disease prediction in Anakapalle, a south Indian station. An IoT device collected on...
Soil India Support Vector Machine Solanum lycopersicum Internet of Things Crops, Agricultural Machine Learning Algorithms Plant Diseases
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Bayesian optimized multimodal deep hybrid learning approach for tomato leaf disease classification.

Scientific reports Sep 14, 2024
Manual identification of tomato leaf diseases is a time-consuming and laborious process that may lead to inaccurate results without professional assistance. Therefore, an automated, early, and precise leaf disease recognition system is essential for ...
Support Vector Machine Plant Leaves Bayes Theorem Solanum lycopersicum Plant Diseases Machine Learning Neural Networks, Computer Algorithms Deep Learning
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Deep learning approach for detecting tomato flowers and buds in greenhouses on 3P2R gantry robot.

Scientific reports Sep 4, 2024
In recent years, significant advancements have been made in the field of smart greenhouses, particularly in the application of computer vision and robotics for pollinating flowers. Robotic pollination offers several benefits, including reduced labor ...
Solanum lycopersicum Flowers Pollination Image Processing, Computer-Assisted Robotics Deep Learning
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Valorization of tomato processing by-products: Predictive modeling and optimization for ultrasound-assisted lycopene extraction.

Ultrasonics sonochemistry Aug 30, 2024
Lycopene is a carotenoid highly valuable to the food, pharmaceutical, dye, and cosmetic industries, present in ripe tomatoes and other fruits with a distinctive red color. The main source of lycopene is tomato crops. This bioactive component can be s...
Solanum lycopersicum Lycopene Chemical Fractionation Neural Networks, Computer Food Handling Ultrasonic Waves Temperature Carotenoids
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Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologies.

PloS one Aug 26, 2024
Estimation of fruit quality parameters are usually based on destructive techniques which are tedious, costly and unreliable when dealing with huge amounts of fruits. Alternatively, non-destructive techniques such as image processing and spectral refl...
Carotenoids Machine Learning Lycopene Chlorophyll A Solanum lycopersicum Chlorophyll Hyperspectral Imaging Fruit Citrus
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