[HTML][HTML] Plant pest detection using an artificial nose system: A review

S Cui, P Ling, H Zhu, HM Keener - Sensors, 2018 - mdpi.com
This paper reviews artificial intelligent noses (or electronic noses) as a fast and noninvasive
approach for the diagnosis of insects and diseases that attack vegetables and fruit trees. The …

Machine learning-based prediction of nutritional status in oil palm leaves using proximal multispectral images

T Chungcharoen, I Donis-Gonzalez, K Phetpan… - … and Electronics in …, 2022 - Elsevier
This study evaluated the application of proximal multispectral images accompanied by 4
machine learning approaches for estimating the nutritional status of oil palm leaves. The …

An In-Depth Study of Phytopathogenic Ganoderma: Pathogenicity, Advanced Detection Techniques, Control Strategies, and Sustainable Management

SC Karunarathna, NM Patabendige, W Lu, S Asad… - Journal of Fungi, 2024 - mdpi.com
Phytopathogenic Ganoderma species pose a significant threat to global plant health,
resulting in estimated annual economic losses exceeding USD (US Dollars) 68 billion in the …

Electronic nose system based on a functionalized capacitive micromachined ultrasonic transducer (CMUT) array for selective detection of plant volatiles

E Şennik, F Erden, N Constantino, YY Oh… - Sensors and Actuators B …, 2021 - Elsevier
Here, a small, low-power, wireless gas sensor platform for selective detection of volatile
organic compounds (VOCs) released from plants under different abiotic or biotic stress …

Classification of Chinese vinegar varieties using electronic nose and fuzzy Foley–Sammon transformation

XH Wu, J Zhu, B Wu, DP Huang, J Sun… - Journal of food science and …, 2020 - Springer
Due to the difference of raw materials and brewing technology, the quality and flavours of
vinegar are different. Different kinds of vinegar have different functions and effects …

Classification and pattern recognition algorithms applied to E-Nose

MM Rahman, C Charoenlarpnopparut… - 2015 2nd …, 2015 - ieeexplore.ieee.org
Electronic noses (E-Nose) are seen to be good substitute to human or animal nose for food,
and fruit quality identification. It is also used for explosive and chemical identification. We …

Application of artificial neural network classification to determine nutrient content in oil palm leaves

NM Nawi, ARM Shariff… - Applied Engineering in …, 2018 - elibrary.asabe.org
The classification of oil palm nutrient level based on leaf samples is an important factor to
dictate the quality of fresh fruit bunch (FFB). The optimum nutrient level in a palm tree …

[PDF][PDF] Wavelength dependence of optical electronic nose for ripeness detection of oil palm fresh fruits

IR Husein, M Shiddiq, DL Sari… - Science, Technology …, 2022 - sintechcomjournal.com
Electronic noses have been developed as an artificial sense to imitate the human nose
based on volatile gases. They have been used in agriculture to monitor and predict fruit …

Detection of Stress Induced by Ganoderma boninense Infection in Oil Palm Leaves Using Reduced Graphene Oxide and Zinc Oxide Nanoparticles Screen-Printed …

N Rahmat, NA Yusof, A Isha, W Mui-Yun… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
A modified carbon electrode has been successfully developed in this study using reduced
graphene oxide (rGO) and zinc oxide nanoparticles (ZnO-NPs) as surface modifiers. This …

Traditional to technological advancements in Ganoderma detection methods in oil palm

A BR, P Manyam, S Javeedvali, AS Khan… - Folia Microbiologica, 2024 - Springer
Ganoderma sp., the fungal agent causing basal stem rot (BSR), poses a severe threat to
global oil palm production. Alarming increases in BSR occurrences within oil palm growing …