The Impact of Artificial Intelligence on the Role of Management Accountants DOI

Amanda F. Mhlongo

Contributions to finance and accounting, Journal Year: 2025, Volume and Issue: unknown, P. 63 - 82

Published: Jan. 1, 2025

Language: Английский

Artificial intelligence for life sciences: A comprehensive guide and future trends DOI

Ming Luo,

Wenyu Yang, Long Bai

et al.

The Innovation Life, Journal Year: 2024, Volume and Issue: unknown, P. 100105 - 100105

Published: Jan. 1, 2024

<p>Artificial intelligence has had a profound impact on life sciences. This review discusses the application, challenges, and future development directions of artificial in various branches sciences, including zoology, plant science, microbiology, biochemistry, molecular biology, cell developmental genetics, neuroscience, psychology, pharmacology, clinical medicine, biomaterials, ecology, environmental science. It elaborates important roles aspects such as behavior monitoring, population dynamic prediction, microorganism identification, disease detection. At same time, it points out challenges faced by application data quality, black-box problems, ethical concerns. The are prospected from technological innovation interdisciplinary cooperation. integration Bio-Technologies (BT) Information-Technologies (IT) will transform biomedical research into AI for Science paradigm.</p>

Language: Английский

Citations

7

Integrative approaches to enhance reproductive resilience of crops for climate-proof agriculture DOI Creative Commons

Collins Agho,

Adi Avni,

Ariola Bacu

et al.

Plant Stress, Journal Year: 2024, Volume and Issue: unknown, P. 100704 - 100704

Published: Dec. 1, 2024

Language: Английский

Citations

4

Flavonoids as key players in cold tolerance: molecular insights and applications in horticultural crops DOI Creative Commons
Jiaxin Li, Qinhan Yu, Chang Liu

et al.

Horticulture Research, Journal Year: 2025, Volume and Issue: 12(4)

Published: Jan. 2, 2025

Abstract Cold stress profoundly affects the growth, development, and productivity of horticultural crops. Among diverse strategies plants employ to mitigate adverse effects cold stress, flavonoids have emerged as pivotal components in enhancing plant resilience. This review was written systematically highlight critical role tolerance, aiming address increasing need for sustainable practices under climate stress. We provide a comprehensive overview tolerance crops, emphasizing their biosynthesis pathways, molecular mechanisms, regulatory aspects conditions. discuss how act antioxidants, scavenging reactive oxygen species (ROS) generated during they regulate gene expression by modulating stress-responsive genes pathways. Additionally, we explore application through genetic engineering breeding strategies, offering insights into practical interventions improving crop Despite significant advances, research gap remains understanding precise mechanisms which specific confer resistance, especially across different species. By addressing current knowledge gaps, proposing future directions highlighting implications horticulture, aim advance enhance

Language: Английский

Citations

0

Integrative Trait Analysis for Enhancing Heat Stress Resilience in Tomato (Solanum lycopersicum L.): A Focus on Root, Physiological, and Yield Adaptations DOI Creative Commons

Sharukh Pasha Mohammed,

Jo-Yi Yen,

Yun‐Che Hsu

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(4), P. 533 - 533

Published: Feb. 10, 2025

Tomato (Solanum lycopersicum L.) is an economically important crop worldwide, particularly in tropical and subtropical regions. However, production significantly increasingly affected by the impacts of climate change, including heat drought stress emerging pests diseases. This study specifically evaluated effects on root shoot morphology, photosynthesis, yield traits five tomato genotypes, to identify characteristics that differentiate tolerance from susceptibility. Heat experiments were conducted a polyhouse, one during summer under high temperatures, with non-stress trial winter conducive natural conditions. Significant reductions yield, photosynthesis observed across all genotypes stress. genotype MG785-1 maintained relatively higher (298.01 ± 25.1 g), 37.7% reduction compared conditions, while CLN4786F1 showed resilience 32.3% decrease its harvest index. Root dry weight (5.91 0.53 g MG785-1) ratio (0.19 0.01 identified as key for tolerance. Physiological traits, such photosynthetic rate (11.71 1.61 µmol CO2 m−2 s−1 MG785-1), critical maintaining growth In contrast, heat-sensitive CLN3961D exhibited significant decline physiological performance. indicators tolerance, was plant These findings underscore importance integrated providing valuable insights breeding climate-resilient varieties.

Language: Английский

Citations

0

Evaluation of Multispectral Imaging for Freeze Damage Assessment in Strawberries Using AI-based Computer Vision Technology DOI Creative Commons

G C Sunil,

Amin Khan, David J. Horvath

et al.

Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: 10, P. 100851 - 100851

Published: Feb. 21, 2025

Language: Английский

Citations

0

The application of Fisher’s linear discriminant function highlights the saline eustress observed in sugarcane cultivated in temporary immersion bioreactors DOI

Julio César Quintana-Zaez,

Daviel Gómez,

Alberto Lozada-Peña

et al.

In Vitro Cellular & Developmental Biology - Plant, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 25, 2025

Language: Английский

Citations

0

Molecular insight into the photoperiod sensitivity in crop plants DOI
Kishor U. Tribhuvan, Shruti Sinha, Nilofar Mustafa

et al.

Gene Reports, Journal Year: 2025, Volume and Issue: unknown, P. 102190 - 102190

Published: March 1, 2025

Language: Английский

Citations

0

Advancing Crop Resilience Through High-Throughput Phenotyping for Crop Improvement in the Face of Climate Change DOI Creative Commons
Hoa Thi Nguyen, Md. Arifur Rahman Khan,

Thuong Thi Nguyen

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(6), P. 907 - 907

Published: March 14, 2025

Climate change intensifies biotic and abiotic stresses, threatening global crop productivity. High-throughput phenotyping (HTP) technologies provide a non-destructive approach to monitor plant responses environmental offering new opportunities for both stress resilience breeding research. Innovations, such as hyperspectral imaging, unmanned aerial vehicles, machine learning, enhance our ability assess traits under various including drought, salinity, extreme temperatures, pest disease infestations. These tools facilitate the identification of stress-tolerant genotypes within large segregating populations, improving selection efficiency programs. HTP can also play vital role by accelerating genetic gain through precise trait evaluation hybridization enhancement. However, challenges data standardization, management, high costs equipment, complexity linking phenotypic observations improvements limit its broader application. Additionally, variability genotype-by-environment interactions complicate reliable selection. Despite these challenges, advancements in robotics, artificial intelligence, automation are precision scalability analyses. This review critically examines dual assessment tolerance performance, highlighting transformative potential existing limitations. By addressing key leveraging technological advancements, significantly research, discovery, parental selection, scheme optimization. While current methodologies still face constraints fully translating insights into practical applications, continuous innovation high-throughput holds promise revolutionizing ensuring sustainable agricultural production changing climate.

Language: Английский

Citations

0

Time‐Lapse Imaging Identifies Key Indicators of Brown Planthopper Damage Progression in Rice Varieties DOI
Nak Jung Choi, Ki Bon Ku, Sheikh Mansoor

et al.

Entomological Research, Journal Year: 2025, Volume and Issue: 55(3)

Published: March 1, 2025

ABSTRACT Improving complex agronomic traits such as yield, plant height, and disease resistance in rice ( Oryza sativa L.) is challenging due to their polygenic nature. Conventional breeding methods, often reliant on collective parameters, face limitations efficiently identifying superior genotypes. Phenomics, however, presents a promising, targeted approach by focusing individual phenotypic traits. This study employs time‐lapse imaging monitor dynamic changes plants infested with the brown planthopper (BPH) Nilaparvata lugens ). Utilizing Phlizon 6000 W LED Grow Light, which provides far‐red wavelengths, image acquisition 12 Raspberry Pi 4 Model B units NoIR cameras fitted blue filters for enhanced NDVI calculations, we captured detailed imagery of responses. Our revealed that values stem region control remained stable, while leaf showed an increase. For plants, fluctuations were observed at lamina joint region, whereas consistent. Importantly, damage progression was slower resistant varieties compared susceptible ones, underscoring discoloration valuable parameter evaluating BPH resistance. phenome‐based precision holds significant potential accelerating development this pervasive pest, offering new avenues improving crop resilience yield.

Language: Английский

Citations

0

Cost effective image-based phenotyping in Capsicum annuum germplasm for rapid assessment of traits DOI

Ji Eun Park,

Sheikh Mansoor, Ki Bon Ku

et al.

Plant Biotechnology Reports, Journal Year: 2025, Volume and Issue: unknown

Published: April 6, 2025

Language: Английский

Citations

0