Machine learning in bioprocess development: from promise to practice

LM Helleckes, J Hemmerich, W Wiechert… - Trends in …, 2023 - cell.com
Fostered by novel analytical techniques, digitalization, and automation, modern bioprocess
development provides large amounts of heterogeneous experimental data, containing …

Charting plant gene functions in the multi-omics and single-cell era

T Depuydt, B De Rybel, K Vandepoele - Trends in Plant Science, 2023 - cell.com
Despite the increased access to high-quality plant genome sequences, the set of genes with
a known function remains far from complete. With the advent of novel bulk and single-cell …

[HTML][HTML] Deep learning utilization in agriculture: Detection of rice plant diseases using an improved CNN model

G Latif, SE Abdelhamid, RE Mallouhy, J Alghazo… - Plants, 2022 - mdpi.com
Rice is considered one the most important plants globally because it is a source of food for
over half the world's population. Like other plants, rice is susceptible to diseases that may …

[HTML][HTML] Soil salinity, a serious environmental issue and plant responses: A metabolomics perspective

KH Chele, MM Tinte, LA Piater, IA Dubery… - Metabolites, 2021 - mdpi.com
The effects of global warming have increasingly led to devastating environmental stresses,
such as heat, salinity, and drought. Soil salinization is a serious environmental issue and …

Systems biology for crop improvement

LT Pazhamala, H Kudapa, W Weckwerth… - The plant …, 2021 - Wiley Online Library
In recent years, generation of large‐scale data from genome, transcriptome, proteome,
metabolome, epigenome, and others, has become routine in several plant species. Most of …

Network organization of the plant immune system: from pathogen perception to robust defense induction

F Delplace, C Huard‐Chauveau, R Berthomé… - The Plant …, 2022 - Wiley Online Library
The plant immune system has been explored essentially through the study of qualitative
resistance, a simple form of immunity, and from a reductionist point of view. The recent …

Sparking a sulfur war between plants and pathogens

W Wang, J Liu, B Mishra, MS Mukhtar… - Trends in Plant …, 2022 - cell.com
The biochemical versatility of sulfur (S) lends itself to myriad roles in plant–pathogen
interactions. This review evaluates the current understanding of mechanisms by which …

Unraveling plant–microbe interactions: can integrated omics approaches offer concrete answers?

RN Kimotho, S Maina - Journal of Experimental Botany, 2024 - academic.oup.com
Advances in high throughput omics techniques provide avenues to decipher plant
microbiomes. However, there is limited information on how integrated informatics can help …

[HTML][HTML] Integrating artificial intelligence and high-throughput phenotyping for crop improvement

M Sheikh, F Iqra, H Ambreen, KA Pravin, M Ikra… - Journal of Integrative …, 2024 - Elsevier
Crop improvement is crucial for addressing the global challenges of food security and
sustainable agriculture. Recent advancements in high-throughput phenotyping (HTP) …

Artificial neural network modeling for deciphering the in vitro induced salt stress tolerance in chickpea (Cicer arietinum L)

M Aasim, F Akin, SA Ali, MB Taskin, MS Colak… - … and Molecular Biology …, 2023 - Springer
Salt stress is one of the most critical abiotic stresses having significant contribution in global
agriculture production. Chickpea is sensitive to salt stress at various growth stages and a …