Strawberry water content estimation and ripeness classification using hyperspectral sensing
We propose data-driven approaches to water content estimation and ripeness classification
of the strawberry fruit. A narrowband hyperspectral spectroradiometer was used to collect …
of the strawberry fruit. A narrowband hyperspectral spectroradiometer was used to collect …
Application of automated image colour analyses for the early-prediction of strawberry development and quality.
K Wise, T Wedding, J Selby-Pham - Scientia Horticulturae, 2022 - Elsevier
Labour and production costs are considered major production challenges for strawberry
(Fragaria sp.) farmers, due to the reliance on manual harvesting methods. Automation has …
(Fragaria sp.) farmers, due to the reliance on manual harvesting methods. Automation has …
MS-YOLOv5: a lightweight algorithm for strawberry ripeness detection based on deep learning
F Pang, X Chen - Systems Science & Control Engineering, 2023 - Taylor & Francis
The existing ripeness detection algorithm for strawberries suffers from low detection
accuracy and high detection error rate. Considering these problems, we propose an …
accuracy and high detection error rate. Considering these problems, we propose an …
Hybrid fuzzy support vector machine approach for Coconut tree classification using image measurement
Classification of trees based on morphological parameters is important for identification,
taxonomy, ecological research, conservation etc. The manual measurement of these …
taxonomy, ecological research, conservation etc. The manual measurement of these …
Strawberry Defect Identification Using Deep Learning Infrared–Visible Image Fusion
Y Lu, M Gong, J Li, J Ma - Agronomy, 2023 - mdpi.com
Feature detection of strawberry multi-type defects and the ripeness stage faces huge
challenges because of color diversity and visual similarity. Images from hyperspectral near …
challenges because of color diversity and visual similarity. Images from hyperspectral near …
Accelerating Strawberry Ripeness Classification Using a Convolution-Based Feature Extractor along with an Edge AI Processor
Image analysis-based artificial intelligence (AI) models leveraging convolutional neural
networks (CNN) take a significant role in evaluating the ripeness of strawberry, contributing …
networks (CNN) take a significant role in evaluating the ripeness of strawberry, contributing …
Classification of Durian Types Using Features Extraction Gray Level Co-Occurrence Matrix (Glcm) and K-Nearest Neighbors (Knn)
FM Sarimole, A Syaeful - Journal of Applied Engineering and …, 2022 - journal.yrpipku.com
Durian is one of the most popular fruits because it has a delicious taste and distinctive
aroma. It has different shapes and types, especially from thorns and different colors and has …
aroma. It has different shapes and types, especially from thorns and different colors and has …
[PDF][PDF] A recognition and classification of fruit images using texture feature extraction and machine learning algorithms
NB Israel, AI Al-Sulaifanie… - Academic Journal of …, 2024 - academia.edu
Fruits classification is demanded in some fields, such as industrial agriculture. Automatic fruit
classification from their digital image plays a vital role in those fields. The classification …
classification from their digital image plays a vital role in those fields. The classification …
Classification of good and damaged rice using convolutional neural network
Rice production is massive in Indonesia, therefore maintaining the quality of the product is
necessary. Detection and classification of objects have become a very important part in …
necessary. Detection and classification of objects have become a very important part in …
Detection System of Strawberry Ripeness Using K-Means
Strawberry is one type of fruit that is favored by the people of Indonesia. The detection
process to identify strawberries can be done by utilizing advances in computer technology …
process to identify strawberries can be done by utilizing advances in computer technology …