Heat stress and plant–biotic interactions: advances and perspectives

RM Shelake, SG Wagh, AM Patil, J Červený… - Plants, 2024 - pmc.ncbi.nlm.nih.gov
Climate change presents numerous challenges for agriculture, including frequent events of
plant abiotic stresses such as elevated temperatures that lead to heat stress (HS). As the …

[HTML][HTML] Integrative approaches to abiotic stress management in crops: combining bioinformatics educational tools and artificial intelligence applications

X Zhang, Z Ibrahim, MB Khaskheli, H Raza, F Zhou… - Sustainability, 2024 - mdpi.com
Abiotic stresses, including drought, salinity, extreme temperatures and nutrient deficiencies,
pose significant challenges to crop production and global food security. To combat these …

[HTML][HTML] Confronting the data deluge: How artificial intelligence can be used in the study of plant stress

E Koh, RS Sunil, HYI Lam, M Mutwil - Computational and Structural …, 2024 - Elsevier
The advent of the genomics era enabled the generation of high-throughput data and
computational methods that serve as powerful hypothesis-generating tools to understand …

[HTML][HTML] Integrative approaches to enhance reproductive resilience of crops for climate-proof agriculture

C Agho, A Avni, A Bacu, A Bakery, S Balazadeh… - Plant stress, 2024 - Elsevier
Worldwide agricultural systems are threatened by rising temperatures, extreme weather
events, and shifting climate zones. Climate change-driven failure in sexual reproduction is a …

Millets for a sustainable future

A Ghatak, I Pierides, RK Singh… - Journal of …, 2024 - academic.oup.com
Our current agricultural system faces a perfect storm-climate change, burgeoning
population, and unpredictable outbreaks like COVID-19 disrupt food production, particularly …

[HTML][HTML] Deciphering plant transcriptomes: Leveraging machine learning for deeper insights

B Panahi, R Hamid, HMZ Jalaly - Current Plant Biology, 2024 - Elsevier
Plant transcriptomics is an important field for understanding the dynamics of gene
expression, regulatory mechanisms and interactions underlying plant development and …

An AI-based framework for olive disease identification using SqueezeNet, artificial neural networks, and support vector machines

SN Al-khateeb - 2024 IEEE 30th International Conference on …, 2024 - ieeexplore.ieee.org
Plant diseases pose a hazard to world food security. According to data from the Jordanian
Department of Statistics, the olive crop was Jordan's greatest agricultural crop in terms of …

[HTML][HTML] Proteomics: An Essential Tool to Study Plant-Specialized Metabolism

MJ Martínez-Esteso, J Morante-Carriel… - Biomolecules, 2024 - mdpi.com
Plants are a valuable source of specialized metabolites that provide a plethora of
therapeutic applications. They are natural defenses that plants use to adapt and respond to …

[HTML][HTML] MLAS: Machine Learning-Based Approach for Predicting Abiotic Stress-Responsive Genes in Chinese Cabbage

X You, Y Shu, X Ni, H Lv, J Luo, J Tao, G Bai, S Feng - Horticulturae, 2025 - mdpi.com
The challenges posed by climate change have had a crucial impact on global food security,
with crop yields negatively affected by abiotic and biotic stresses. Consequently, the …

Breeding 4.0 vis-à-vis application of artificial intelligence (AI) in crop improvement: an overview

R Ansari, A Manna, S Hazra, S Bose… - New Zealand Journal …, 2024 - Taylor & Francis
The field of plant breeding has witnessed significant transformations over millennia evolving
from rudimentary selection strategies (Breeding 1.0) in ancient times to sophisticated …