Machine learning for plant stress modeling: A perspective towards hormesis management

AK Rico-Chávez, JA Franco, AA Fernandez-Jaramillo… - Plants, 2022 - mdpi.com
Plant stress is one of the most significant factors affecting plant fitness and, consequently,
food production. However, plant stress may also be profitable since it behaves hormetically; …

A review of integrative omic approaches for understanding rice salt response mechanisms

MA Ullah, MR Abdullah-Zawawi, RA Zainal-Abidin… - Plants, 2022 - mdpi.com
Soil salinity is one of the most serious environmental challenges, posing a growing threat to
agriculture across the world. Soil salinity has a significant impact on rice growth …

Rapid measurement of classification levels of primary macronutrients in durian (Durio zibethinus Murray CV. Mon Thong) leaves using FT-NIR spectrometer and …

T Phanomsophon, N Jaisue, A Worphet, N Tawinteung… - Measurement, 2022 - Elsevier
For durian growth to produce high-quality fruit, plants should receive sufficient nutrients.
Currently, farmers apply various fertilisers to produce a large quantity and quality of durian …

Assessing the potential of integrating automation and artificial intelligence across sample-destructive methods to determine plant water status: A review and score …

C Mucchiani, D Zaccaria, K Karydis - Computers and Electronics in …, 2024 - Elsevier
Sample-destructive methods for the determination of plant water status have been the
primary reference for various agronomic practices over the years. Several recent …

DeepAProt: Deep learning based abiotic stress protein sequence classification and identification tool in cereals

B Ahmed, MA Haque, MA Iquebal, S Jaiswal… - Frontiers in plant …, 2023 - frontiersin.org
The impact of climate change has been alarming for the crop growth. The extreme weather
conditions can stress the crops and reduce the yield of major crops belonging to Poaceae …

An overview of machine learning applications on plant phenotyping, with a focus on sunflower

L Centorame, T Gasperini, A Ilari, A Del Gatto… - Agronomy, 2024 - mdpi.com
Machine learning is a widespread technology that plays a crucial role in digitalisation and
aims to explore rules and patterns in large datasets to autonomously solve non-linear …

Terahertz Spectroscopy and Imaging Techniques for Herbal Medicinal Plants Detection: A Comprehensive Review

C Han, F Qu, X Wang, X Zhai, J Li, K Yu… - Critical Reviews in …, 2023 - Taylor & Francis
Herbal medicine (HM), derived from various therapeutic plants, has garnered considerable
attention for its remarkable effectiveness in treating diseases. However, numerous issues …

Terahertz Data Extraction and Analysis based on Deep Learning Techniques for Emerging Applications

M Gezimati, G Singh - IEEE Access, 2024 - ieeexplore.ieee.org
Following the recent progress in the development of Terahertz (THz) generation and
detection, THz technology is being widely used to characterize test sample properties in …

[HTML][HTML] Early detection of abiotic stress in plants through SNARE proteins using hybrid feature fusion model

T Bhargavi, D Sumathi - PeerJ Computer Science, 2024 - peerj.com
Agriculture is the main source of livelihood for most of the population across the globe.
Plants are often considered life savers for humanity, having evolved complex adaptations to …

[图书][B] TERAHERTZ TECHNOLOGY: Principles and Applications in the Agri-food Industry

T Anukiruthika, DS Jayas - 2023 - books.google.com
Terahertz (THz) technology is an active area of research, but only in recent years has the
application of THz waves (T waves) in food and agricultural industries been explored …