Technologies driving the shift to smart farming: A review

N ElBeheiry, RS Balog - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
As today's agriculture industry is facing numerous challenges, including climate changes,
encroachment of the urban environment, and lack of qualified farmers, there is a need for …

[PDF][PDF] A comparative analysis of machine learning algorithms modeled from machine vision-based lettuce growth stage classification in smart aquaponics

SC Lauguico, RS Concepcion… - Int. J. Environ …, 2020 - pdfs.semanticscholar.org
The arising problem on food scarcity drives the innovation of urban farming. One of the
methods in urban farming is the smart aquaponics. However, for a smart aquaponics to yield …

[HTML][HTML] A computer vision based online quality control system for textile yarns

N Haleem, M Bustreo, A Del Bue - Computers in Industry, 2021 - Elsevier
Yarn quality control is a crucial step in producing high quality textile end products. Online
yarn testing can reduce latency in necessary process control by providing rapid insights into …

Estimation of photosynthetic growth signature at the canopy scale using new genetic algorithm-modified visible band triangular greenness index

RS Concepcion, SC Lauguico… - 2020 International …, 2020 - ieeexplore.ieee.org
Greenness index has been proven sensitive to vegetation properties for multispectral and
hyperspectral imaging. However, most controlled microclimatic cultivation chambers are …

Lettuce Canopy Area Measurement Using Static Supervised Neural Networks Based on Numerical Image Textural Feature Analysis of Haralick and Gray Level Co …

RS Concepcion II, SC Lauguico… - AGRIVITA, Journal of …, 2020 - agrivita.ub.ac.id
Leaf canopy area is a fundamental crop growth characteristic that encompasses the spatial
area covered by plants. However, non-destructive and automatic computation of lettuce …

Redundancy Reduction in Face Detection of Viola-Jones using the Hill Climbing Algorithm

KC Kirana, S Wibawanto… - 2020 4th International …, 2020 - ieeexplore.ieee.org
In this study, we improved Viola-Jones face detection using Hill Climbing algorithm in order
to reduce the redundancy rates. Viola-Jones's algorithm has succeeded in determining the …

Hybrid tree-fuzzy logic for aquaponic lettuce growth stage classification based on canopy texture descriptors

RR Tobias, ME Mital, R Concepcion… - 2020 IEEE REGION …, 2020 - ieeexplore.ieee.org
Lettuce is one of the most popular crops for urban farming because it is easy to grow and it
has high nutritional value. Moreover, it is adaptable and can be combined with other food …

Filipino Braille One-Cell Contractions Recognition Using Machine Vision

PJM Loresco, RQ Neyra - TENCON 2019-2019 IEEE Region 10 …, 2019 - ieeexplore.ieee.org
Braille is one of the major tools for teaching the visually impaired. Sufficient number of
teachers engaged in special education involved in Filipino Braille is not available. One of …

Vision-based shrimp feed type classification using fuzzy logic

RPC Gamara, AA Bandala… - 2020 IEEE REGION 10 …, 2020 - ieeexplore.ieee.org
Shrimp farming is a major industry covering 23% of Philippine annual aquaculture
production, which requires performing better management practices (BMPs) including …

[PDF][PDF] Vision-based lettuce growth stage decision support system using artificial neural networks

PJM Loresco, E Dadios - Int. J. Mach. Learn. Comput, 2020 - pdfs.semanticscholar.org
Machine vision approaches for lettuce growth stage prediction are continuously being
developed. Previous works suggest further extensive study of computer vision features in …