Recent advances of smart systems and internet of things (iot) for aquaponics automation: A comprehensive overview

MF Taha, G ElMasry, M Gouda, L Zhou, N Liang… - Chemosensors, 2022 - mdpi.com
Aquaponics is an innovative, smart, and sustainable agricultural technology that integrates
aquaculture (farming of fish) with hydroponics in growing vegetable crops symbiotically. The …

The evolution of chemometrics coupled with near infrared spectroscopy for fruit quality evaluation. II. The rise of convolutional neural networks

J Walsh, A Neupane, A Koirala, M Li… - Journal of Near Infrared …, 2023 - opg.optica.org
The Part 1 prequel to this review evaluated the evolution of modelling techniques used in
evaluation of fruit quality over the past three decades and noted a progression towards the …

[HTML][HTML] End-to-end fusion of hyperspectral and chlorophyll fluorescence imaging to identify rice stresses

C Zhang, L Zhou, Q Xiao, X Bai, B Wu, N Wu… - Plant …, 2022 - spj.science.org
Herbicides and heavy metals are hazardous substances of environmental pollution,
resulting in plant stress and harming humans and animals. Identification of stress types can …

Using deep convolutional neural network for image-based diagnosis of nutrient deficiencies in plants grown in aquaponics

MF Taha, A Abdalla, G ElMasry, M Gouda, L Zhou… - Chemosensors, 2022 - mdpi.com
In the aquaponic system, plant nutrients bioavailable from fish excreta are not sufficient for
optimal plant growth. Accurate and timely monitoring of the plant's nutrient status grown in …

Leaf water content determination of oilseed rape using near-infrared hyperspectral imaging with deep learning regression methods

C Zhang, C Li, M He, Z Cai, Z Feng, H Qi… - Infrared Physics & …, 2023 - Elsevier
Water content is crucial for plant growth. Determination of water content can help monitor
plant growth status. In this study, spectral data in the range of 900–1700 nm acquired by …

Early detection of Verticillium wilt of potatoes using near-infrared spectroscopy and machine learning modeling

MY Shin, CG Viejo, E Tongson, T Wiechel… - … and Electronics in …, 2023 - Elsevier
Verticillium wilt, primarily caused by the pathogen Verticillium dahliae, is an economically
devastating disease of potato crops. Early detection of this disease is critical in informing …

[HTML][HTML] A portable NIR-system for mixture powdery food analysis using deep learning

L Zhou, L Tan, C Zhang, N Zhao, Y He, Z Qiu - Lwt, 2022 - Elsevier
The combination of near-infrared spectroscopy and machine intelligence has been an
emerging nondestructive tool for powdery food evaluation. In this research, a novel portable …

Simultaneous determination of five micro-components in Chrysanthemum morifolium (Hangbaiju) using near-infrared hyperspectral imaging coupled with deep …

J He, C Zhang, L Zhou, Y He - Infrared Physics & Technology, 2021 - Elsevier
Chrysanthemum morifolium (Hangbaiju) is a kind of favored flower tea due to its health
benefits. Rapid and accurate determination of chemical components is important for …

Using machine learning for nutrient content detection of aquaponics-grown plants based on spectral data

MF Taha, AI ElManawy, KS Alshallash, G ElMasry… - Sustainability, 2022 - mdpi.com
Nutrients derived from fish feed are insufficient for optimal plant growth in aquaponics;
therefore, they need to be supplemented. Thus, estimating the amount of supplementation …

Development of a low-cost portable device for pixel-wise leaf SPAD estimation and blade-level SPAD distribution visualization using color sensing

L Tan, L Zhou, N Zhao, Y He, Z Qiu - Computers and Electronics in …, 2021 - Elsevier
Abstract Soil Plant Analysis Development (SPAD) was proved as a reliable indicator for the
representation of leaf chlorophyll or nitrogen content. Portable plant SPAD sensors have …