[HTML][HTML] Weight and volume estimation of poultry and products based on computer vision systems: a review

I Nyalala, C Okinda, C Kunjie, T Korohou, L Nyalala… - Poultry Science, 2021 - Elsevier
The appearance, size, and weight of poultry meat and eggs are essential for production
economics and vital in the poultry sector. These external characteristics influence their …

[HTML][HTML] A review on computer vision systems in monitoring of poultry: A welfare perspective

C Okinda, I Nyalala, T Korohou, C Okinda… - Artificial Intelligence in …, 2020 - Elsevier
Monitoring of poultry welfare-related bio-processes and bio-responses is vital in welfare
assessment and management of welfare-related factors. With the current development in …

[HTML][HTML] Artificial intelligence approach for tomato detection and mass estimation in precision agriculture

J Lee, H Nazki, J Baek, Y Hong, M Lee - Sustainability, 2020 - mdpi.com
Application of computer vision and robotics in agriculture requires sufficient knowledge and
understanding of the physical properties of the object of interest. Yield monitoring is an …

An improved Faster R-CNN model for multi-object tomato maturity detection in complex scenarios

Z Wang, Y Ling, X Wang, D Meng, L Nie, G An… - Ecological …, 2022 - Elsevier
Accurate detection of tomato maturity is significant in automatic tomato picking. Although
there are many detection methods, they are often sensitive to occlusion, overlap, uneven …

Morphological measurement for carrot based on three-dimensional reconstruction with a ToF sensor

W Xie, S Wei, D Yang - Postharvest Biology and Technology, 2023 - Elsevier
Abstract The three-dimensional (3D) shape information of carrot is vital for carrot grading
and phenotyping analysis, which cannot be obtained accurately based on the two …

Using fuzzy mask R-CNN model to automatically identify tomato ripeness

YP Huang, TH Wang, H Basanta - IEEE Access, 2020 - ieeexplore.ieee.org
Manual inspection and harvesting of ripening tomatoes is time consuming and labor
intensive. Smart agriculture can emphasize the use of digital horticultural resources for …

Online volume measurement of sweetpotatoes by A LiDAR-based machine vision system

J Xu, Y Lu, E Olaniyi, L Harvey - Journal of Food Engineering, 2024 - Elsevier
Volume is an important phenotype and shape descriptor of sweetpotato storage roots for
postharvest quality assessment and breeding programs. The standard water displacement …

Physicochemical characterization of elephant apple (Dillenia indica L.) fruit and its mass and volume modeling using computer vision

A Saikumar, C Nickhil, LS Badwaik - Scientia Horticulturae, 2023 - Elsevier
The elephant apple (Dillenia indica L.) is an underutilized fruit and a potential source of
many nutrients. The variations in the mass and volume of fruits are highly dependent on their …

[HTML][HTML] Detection and characterization of cherries: A deep learning usability case study in Chile

JF Villacrés, F Auat Cheein - Agronomy, 2020 - mdpi.com
Chile is one of the main exporters of sweet cherries in the world and one of the few in the
southern hemisphere, being their harvesting between October and January. Hence, Chilean …

[HTML][HTML] Image-based phenotyping of seed architectural traits and prediction of seed weight using machine learning models in soybean

NT Duc, A Ramlal, A Rajendran, D Raju… - Frontiers in Plant …, 2023 - frontiersin.org
Among seed attributes, weight is one of the main factors determining the soybean harvest
index. Recently, the focus of soybean breeding has shifted to improving seed size and …