[HTML][HTML] Comparative study on the performance of deep learning implementation in the edge computing: Case study on the plant leaf disease identification
SJ Wei, DF Al Riza, H Nugroho - Journal of agriculture and food research, 2022 - Elsevier
This research examines and explores four different pre-trained CNN deep learning models
(AlexNet, VGG16, ResNet50, and DenseNet121) to be adopted as edge solution. The model …
(AlexNet, VGG16, ResNet50, and DenseNet121) to be adopted as edge solution. The model …
[HTML][HTML] Enhancing soil water retention and plant growth with thermal crosslinked silk sericin-based hydrogel
N Jaramillo-Quiceno, ASD Carmona, JS Serna… - Journal of …, 2024 - Elsevier
In this study, a simple and clean crosslinking method was evaluated as a novel strategy to
improve the structural stability of sericin-based hydrogels for soil water retention. The …
improve the structural stability of sericin-based hydrogels for soil water retention. The …
[HTML][HTML] Developing a prediction method for physicochemical characteristics of Pontianak Siam orange (Citrus suhuiensis cv. Pontianak) based on combined …
The slightly sweet and acidic taste offered by Pontianak Siam oranges is influenced by the
total soluble solids (TSS) and acidity in the fruit, in which, measuring these attributes is …
total soluble solids (TSS) and acidity in the fruit, in which, measuring these attributes is …
Identification of Arabica coffee roasting levels using Nikon D3100 commercial camera and optimized neural network
Y Hendrawan, TF Ramadhan, SM Sutan… - AIP Conference …, 2023 - pubs.aip.org
The roasting levels of coffee beans can be classified into three categories ie light roast,
medium roast, and dark roast. The roasting level can be identified by a combination of …
medium roast, and dark roast. The roasting level can be identified by a combination of …
Moringa leaf chlorophyll content measurement system based on optimized artificial neural network
Y Hendrawan, TE Perkasa, J Prasetyo… - Advances in Food …, 2023 - afssaae.ub.ac.id
This research aimed to measure the chlorophyll content of Moringa leaves using machine
vision and an optimized artificial neural network (ANN). A total of 480 images were used …
vision and an optimized artificial neural network (ANN). A total of 480 images were used …