AIMC Topic: Fragaria

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SmartBerry for AI-based growth stage classification and precision nutrition management in strawberry cultivation.

Scientific reports Apr 23, 2025
Agriculture is vital for human sustenance and economic stability, with increasing global food demand necessitating innovative practices. Traditional farming methods have caused significant environmental damage, highlighting the need for sustainable p...
Artificial Intelligence Agriculture Fruit Fragaria
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Estimating strawberry weight for grading by picking robot with point cloud completion and multimodal fusion network.

Scientific reports Apr 2, 2025
Strawberry grading by picking robots can eliminate the manual classification, reducing labor costs and minimizing the damage to the fruit. Strawberry size or weight is a key factor in grading, with accurate weight estimation being crucial for proper ...
Robotics Fruit Algorithms Image Processing, Computer-Assisted Fragaria
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Online assessment of soluble solids content in strawberries using a developed Vis/NIR spectroscopy system with a hanging grasper.

Food chemistry Mar 7, 2025
Online detection of internal quality of strawberries presents challenges particularly concerning fruit damage, detection accuracy, and processing efficiency. This study explores the feasibility of using Vis/NIRS for online detection of SSC in strawbe...
Fruit Fragaria Spectroscopy, Near-Infrared
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Leveraging YOLO deep learning models to enhance plant disease identification.

Scientific reports Mar 7, 2025
Early automation in identifying plant diseases is crucial for the precise protection of crops. Plant diseases pose substantial risks to agriculture-dependent nations, often leading to notable crop losses and financial challenges, particularly in deve...
Deep Learning Plant Leaves Plant Diseases Fragaria Crops, Agricultural
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Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry crops.

PloS one Feb 11, 2025
Using chemical laboratory procedures to estimate the fruit quality parameters (biochemical parameters) of mango "Succarri" and strawberry "Florida" as indicators of ripening degrees in a large area presents challenges such as low throughput, labor in...
Fruit Crops, Agricultural Neural Networks, Computer Machine Learning Mangifera Fragaria
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Estimation of Strawberry Canopy Volume in Unmanned Aerial Vehicle RGB Imagery Using an Object Detection-Based Convolutional Neural Network.

Sensors (Basel, Switzerland) Oct 28, 2024
Estimating canopy volumes of strawberry plants can be useful for predicting yields and establishing advanced management plans. Therefore, this study evaluated the spatial variability of strawberry canopy volumes using a ResNet50V2-based convolutional...
Image Processing, Computer-Assisted Aircraft Fragaria Unmanned Aerial Devices Neural Networks, Computer
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Machine learning and multiple linear regression models can predict ascorbic acid and polyphenol contents, and antioxidant activity in strawberries.

Journal of the science of food and agriculture Sep 18, 2024
BACKGROUND: Strawberry is a rich source of antioxidants, including ascorbic acid (ASA) and polyphenols, which have numerous health benefits. Antioxidant content and activity are often determined manually using laboratory equipment, which is destructi...
Fragaria Linear Models Plant Extracts Polyphenols Machine Learning Ascorbic Acid Neural Networks, Computer Antioxidants Fruit
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Utilizing High-Resolution Imaging and Artificial Intelligence for Accurate Leaf Wetness Detection for the Strawberry Advisory System (SAS).

Sensors (Basel, Switzerland) Jul 25, 2024
In strawberry cultivation, precise disease management is crucial for maximizing yields and reducing unnecessary fungicide use. Traditional methods for measuring leaf wetness duration (LWD), a critical factor in assessing the risk of fungal diseases s...
Algorithms Plant Leaves Plant Diseases Fragaria Botrytis Neural Networks, Computer Artificial Intelligence
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Using a hybrid neural network architecture for DNA sequence representation: A study on N-methylcytosine sites.

Computers in biology and medicine May 27, 2024
N-methylcytosine (4mC) is a modified form of cytosine found in DNA, contributing to epigenetic regulation. It exists in various genomes, including the Rosaceae family encompassing significant fruit crops like apples, cherries, and roses. Previous inv...
Cytosine Neural Networks, Computer Sequence Analysis, DNA Genome, Plant DNA Methylation DNA, Plant Fragaria
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Real-Time Detection of Strawberry Ripeness Using Augmented Reality and Deep Learning.

Sensors (Basel, Switzerland) Sep 3, 2023
Currently, strawberry harvesting relies heavily on human labour and subjective assessments of ripeness, resulting in inconsistent post-harvest quality. Therefore, the aim of this work is to automate this process and provide a more accurate and effici...
Labor, Obstetric Deep Learning Agriculture Pregnancy Augmented Reality Female Humans Fragaria
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