[HTML][HTML] Benchmark of deep learning and a proposed HSV colour space models for the detection and classification of greenhouse tomato

G Moreira, SA Magalhães, T Pinho, FN dos Santos… - Agronomy, 2022 - mdpi.com
The harvesting operation is a recurring task in the production of any crop, thus making it an
excellent candidate for automation. In protected horticulture, one of the crops with high …

Automatic food leftover estimation in tray box using image segmentation

YA Sari, RK Dewi, JM Maligan… - 2019 International …, 2019 - ieeexplore.ieee.org
Nutritional food is the most important aspect for people to fulfil their daily needs, but
nowadays, the change of lifestyle can affect the style of food consumption, for instance …

Utilizing ResNet architectures for identification of tomato diseases

I Kunduracioglu - Journal of Intelligent Decision Making and Information …, 2024 - jidmis.org
In this study, the effectiveness of various deep learning models in detecting diseases in
tomato leaves has been thoroughly evaluated, with a particular emphasis on the ResNet …

Comparison of image thresholding and clustering segmentation methods for understanding nutritional content of food images

YA Sari, VW Saputra, A Agustina, YA Wani… - Proceedings of the 5th …, 2020 - dl.acm.org
In a hospital, nutritionists and dietitians have to pay attention to how much food consumed
by patients since it can affect the nutritional intake they get if patients leftover their meals …

[PDF][PDF] Multiple food or non-food detection in single tray box image using fraction of pixel segmentation for developing smart NutritionBox prototype

YA Sari, JM Maligan, YGBS Adinugroho… - … Journal of Innovative …, 2020 - researchgate.net
Smart Nutrition Box is a hardware prototype to predict food leftover measurement as well as
the nutrition of the leftover. In the previous approach, there was a need of trained observer to …

Improving the elementary leftover food estimation algorithm by using clustering image segmentation in nutrition intake problem

YA Sari, JM Maligan, AF Prakoso - … International Conference on …, 2020 - ieeexplore.ieee.org
In the previous research, we created a prototype named Smart Nutrition Box (SNB), which
has several features to predict the leftover nutritional content of foods placed at the tray box …

Food Image Retrieval with Gray Level Co-Occurrence Matrix Texture Feature and CIE L* a* b* Color Moments Feature

AF Ahsani, YA Sari, PP Adikara - … International Conference on …, 2019 - ieeexplore.ieee.org
Food recognition and finding its recipe sometime is becoming challenging in everyday life,
especially those who work in cuisine field. Most people usually try to find the food recipe …

Growth Stage Identification for Cherry Tomato using Image Processing Techniques

PJ Loresco, I Valenzuela, RP Gamara… - 2020 IEEE 12th …, 2020 - ieeexplore.ieee.org
Controlled environment agriculture are being developed with the purpose of increasing
production yield in farms. For optimal yield, it is very important to have an understanding …

Leftovers Nutrition Prediction for Augmenting Smart Nutrition Box Prototype Feature Using Image Processing Approach and AFLE Algorithm

YA Sari, L Maulana, YG Bihanda… - … on Computer and …, 2020 - ieeexplore.ieee.org
Some people tend to leave their food when eating caused by their changing lifestyle during
the time. Leaving food means wasting its nutritional content acquired in people's bodies. By …

[PDF][PDF] Harvesting with active perception for open-field agricultural robotics

SAC Magalhães - 2024 - repositorio-aberto.up.pt
The global population is rapidly increasing, leading to significant challenges in hunger and
undernourishment, now affecting≥ 12.9% of people worldwide. With agricultural land being …