AIMC Topic: Flowers

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Data-centric AI approach for automated wildflower monitoring.

PloS one Sep 9, 2024
We present the Eindhoven Wildflower Dataset (EWD) as well as a PyTorch object detection model that is able to classify and count wildflowers. EWD, collected over two entire flowering seasons and expert annotated, contains 2,002 top-view images of flo...
Artificial Intelligence Flowers
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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 ...
Deep Learning Image Processing, Computer-Assisted Flowers Pollination Robotics Solanum lycopersicum
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AI-driven determination of active compounds and investigation of multi-pharmacological effects of Chrysanthemi Flos.

Computers in biology and medicine Aug 13, 2024
BACKGROUND: Chrysanthemi Flos as a medicine food homology species is widely used in the prevention and treatment of diseases, whereas comprehensive research of its active compounds related to multi-pharmacological effects remains limited. This study ...
Flowers Chrysanthemum Humans Artificial Intelligence Drugs, Chinese Herbal
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Estimation of the amount of pear pollen based on flowering stage detection using deep learning.

Scientific reports Jun 7, 2024
Pear pollination is performed by artificial pollination because the pollination rate through insect pollination is not stable. Pollen must be collected to secure sufficient pollen for artificial pollination. However, recently, collecting sufficient a...
Algorithms Pyrus Pollination Pollen Deep Learning Flowers
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Optimization of Flavonoid Extraction from Flowers Using Ultrasonic Techniques: Predictive Modeling through Response Surface Methodology and Deep Neural Network and Biological Activity Assessment.

Molecules (Basel, Switzerland) Jun 1, 2024
Understanding the optimal extraction methods for flavonoids from flowers (AMF) is crucial for unlocking their potential benefits. This study aimed to optimize the efficiency of flavonoid extraction from AMF. After comparing extraction methods, the u...
Plant Extracts Flavonoids Neural Networks, Computer Antioxidants Ultrasonic Waves Abelmoschus Flowers
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Modular Spiking Neural Membrane Systems for Image Classification.

International journal of neural systems Mar 8, 2024
A variant of membrane computing models called Spiking Neural P systems (SNP systems) closely mimics the structure and behavior of biological neurons. As third-generation neural networks, SNP systems have flexible architectures allowing the design of ...
Models, Neurological Action Potentials Neurons Flowers Humans Algorithms Machine Learning Neural Networks, Computer Image Processing, Computer-Assisted
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Harnessing artificial intelligence for analysing the impacts of nectar and pollen feeding in conservation biological control.

Current opinion in insect science Feb 2, 2024
Plant-derived foods, such as nectar and pollen, have garnered substantial research attention due to their potential to support natural enemies of pests. This review is a pioneering exploration of the potential for artificial intelligence approaches t...
Pollen Flowers Plant Nectar Artificial Intelligence Crops, Agricultural Animals
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Deep SE-BiLSTM with IFPOA Fine-Tuning for Human Activity Recognition Using Mobile and Wearable Sensors.

Sensors (Basel, Switzerland) Apr 27, 2023
Pervasive computing, human-computer interaction, human behavior analysis, and human activity recognition (HAR) fields have grown significantly. Deep learning (DL)-based techniques have recently been effectively used to predict various human actions u...
Pollination Human Activities Wearable Electronic Devices Flowers Neural Networks, Computer Algorithms Humans
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A search and rescue robot search method based on flower pollination algorithm and Q-learning fusion algorithm.

PloS one Mar 30, 2023
Search algorithm plays an important role in the motion planning of the robot, it determines whether the mobile robot complete the task. To solve the search task in complex environments, a fusion algorithm based on the Flower Pollination algorithm and...
Pollination Robotics Algorithms Rescue Work Flowers
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Shape classification technology of pollinated tomato flowers for robotic implementation.

Scientific reports Feb 7, 2023
Three pollination methods are commonly used in the greenhouse cultivation of tomato. These are pollination using insects, artificial pollination (by manually vibrating flowers), and plant growth regulators. Insect pollination is the preferred natural...
Robotic Surgical Procedures Artificial Intelligence Solanum lycopersicum Technology Animals Pollination Insecta Robotics Flowers
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