[PDF][PDF] Lettuce growth stage identification based on phytomorphological variations using coupled color superpixels and multifold watershed transformation.

RS Concepcion II, JD Alejandrino… - International Journal of …, 2020 - academia.edu
Phytomorphology or plant morphology is the science of external structure, physical shape
and form, and plants' development. It is comparative, somatically observative, especially on …

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 …

Review of Recent Advances on AI Applications in Civil Engineering

Y Aydın, G Bekdaş, SM Nigdeli - … Applications of AI and Swarm Intelligence, 2024 - Springer
Artificial intelligence (AI), which has many different usage areas, is an important technology
of the twenty-first century. Currently, AI is an evolving technology and aims to gain even …

Coral health identification using image classification and convolutional neural networks

J Borbon, J Javier, J Llamado, E Dadios… - 2021 IEEE 13th …, 2021 - ieeexplore.ieee.org
The health of the coral reefs is at risk due to the increase in water pollution and climate
change. The destruction of these coral reefs becomes relevant as the Philippines has a …

Yield evaluation of brassica rapa, Lactuca Sativa, and brassica Integrifolia using image processing in an IoT-based Aquaponics with temperature-controlled …

LKS Tolentino, EO Fernandez, SND Amora… - AGRIVITA Journal of …, 2020 - agrivita.ub.ac.id
The paper introduced the development of a self-sustainable smart aquaponics system in a
temperature-controlled greenhouse with a monitoring and automatic correction system using …

Aspergillus species fungi identification using microscopic scale images

RKC Billones, EJ Calilung, EP Dadios… - 2020 IEEE 12th …, 2020 - ieeexplore.ieee.org
This paper presents a technique for microscopic classification of Aspergillus fungi species.
In another study, the authors described a process of fungi identification using macroscopic …

Image-based macroscopic classification of aspergillus fungi species using convolutional neural networks

RKC Billones, EJ Calilung, EP Dadios… - 2020 IEEE 12th …, 2020 - ieeexplore.ieee.org
This paper presents a technique for macroscopic classification of Aspergillus fungi species.
The Aspergillus genus have several species that can be used in agricultural and medical …

Strawberry Quality Classification Utilizing Convolutional Neural Network

LA Acero, JDS Ong, CJL Shi, EP Dadios… - 2021 IEEE 13th …, 2021 - ieeexplore.ieee.org
Strawberry quality has been a crucial factor when it comes to consumer satisfaction. Having
quality and cost-efficient strawberries would increase consumer satisfaction while increasing …

A comparative study on the use of raw and filtered images for multi-class image classification

AAB Orencia, JK Coching, APD Matias… - 2021 IEEE 13th …, 2021 - ieeexplore.ieee.org
Manufacturing processes have since then developed to accommodate the ever-growing
consumer demand for a wide range of products. Being so, for businesses to adapt, they must …

Deep Learning Applications in Identifying Deep Metallic Surface Defects

RTJCK Leong, FEA Rodriguez… - 2022 IEEE 14th …, 2022 - ieeexplore.ieee.org
The manufacturing sector has long since been reliant on automation for the production and
processing of goods. And while machines do in fact perform the assigned tasks consistently …