Review on convolutional neural network (CNN) applied to plant leaf disease classification

J Lu, L Tan, H Jiang - Agriculture, 2021 - mdpi.com
Crop production can be greatly reduced due to various diseases, which seriously endangers
food security. Thus, detecting plant diseases accurately is necessary and urgent. Traditional …

Plant bioelectronics and biohybrids: the growing contribution of organic electronic and carbon-based materials

G Dufil, I Bernacka-Wojcik, A Armada-Moreira… - Chemical …, 2021 - ACS Publications
Life in our planet is highly dependent on plants as they are the primary source of food,
regulators of the atmosphere, and providers of a variety of materials. In this work, we review …

Long-distance electrical signals as a link between the local action of stressors and the systemic physiological responses in higher plants

V Sukhov, E Sukhova, V Vodeneev - Progress in Biophysics and Molecular …, 2019 - Elsevier
Our review is devoted to the analysis of the role of long-distance electrical signals in the
development of the fast systemic physiological responses in higher plants. The …

[KSIĄŻKA][B] PPG signal analysis: An introduction using MATLAB®

M Elgendi - 2020 - taylorfrancis.com
This book serves as a current resource for Photoplethysmogram (PPG) signal analysis using
MATLAB®. This technology is critical in the evaluation of medical and diagnostic data …

Electrical signals, plant tolerance to actions of stressors, and programmed cell death: is interaction possible?

E Sukhova, V Sukhov - Plants, 2021 - mdpi.com
In environmental conditions, plants are affected by abiotic and biotic stressors which can be
heterogenous. This means that the systemic plant adaptive responses on their actions …

Automatic classification of plant electrophysiological responses to environmental stimuli using machine learning and interval arithmetic

DR Pereira, JP Papa, GFR Saraiva… - Computers and Electronics …, 2018 - Elsevier
In plants, there are different types of electrical signals involving changes in membrane
potentials that could encode electrical information related to physiological states when …

Electrophysiological assessment of plant status outside a Faraday cage using supervised machine learning

D Tran, F Dutoit, E Najdenovska, N Wallbridge… - Scientific reports, 2019 - nature.com
Living organisms have evolved complex signaling networks to drive appropriate
physiological processes in response to changing environmental conditions. Amongst them …

Local action of moderate heating and illumination induces propagation of hyperpolarization electrical signals in wheat plants

L Yudina, E Sukhova, A Popova, Y Zolin… - … in Sustainable Food …, 2023 - frontiersin.org
Electrical signals (ESs), which are generated in irritated zones of plants and propagate into
their non-irritated parts, are hypothesized to be an important mechanism of a plant systemic …

Mathematical models of electrical activity in plants

E Sukhova, E Akinchits, V Sukhov - The Journal of membrane biology, 2017 - Springer
Electrical activity plays an important role in plant life; in particular, electrical responses can
participate in the reception of the action of stressors (local electrical responses and …

Using a one-dimensional convolutional neural network with a conditional generative adversarial network to classify plant electrical signals

XH Qin, ZY Wang, JP Yao, Q Zhou, PF Zhao… - … and Electronics in …, 2020 - Elsevier
Identification of salt tolerance of crops usually requires long-term observation of morphology,
or physiological and biochemical experiments, which are time-consuming and laborious …