Leveraging AI in Ayurvedic Agriculture: A RAG Chatbot for Comprehensive Medicinal Plant Insights Using Hybrid Deep Learning Approaches DOI Creative Commons
Biplov Paneru,

Bipul Thapa,

Bishwash Paneru

et al.

Telematics and Informatics Reports, Journal Year: 2024, Volume and Issue: unknown, P. 100181 - 100181

Published: Dec. 1, 2024

Language: Английский

Plant Foods and Their Bioactives as Dietary Enhancers for Colon Cancer Treatment with 5-Fluorouracil DOI
Zhongming Yang, Carlos L. Céspedes, Zhongguo Yang

et al.

Food Reviews International, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 50

Published: Jan. 4, 2025

Cancer is the world's second most common cause of death, with colon cancer (CC) ranking third in prevalence and cancer-related fatalities. CC originates or rectum influenced by genetic mutations, lifestyle, diet. Although chemotherapy, especially 5-fluorouracil (5-FU), fundamental to treatment has improved patient survival, its benefits are often limited significant side effects emerging drug resistance. Recently, plant-based foods have drawn interest research for their natural bioactive compounds relatively low toxicity. Certain plant not only exhibit anti-cancer activity but may also boost effectiveness 5-FU while reducing adverse effects. Despite evidence suggesting a synergistic effect between 5-FU, this area remains fragmented. This review consolidates current on including fruits, vegetables, legumes, tea bioactives treatment. Besides, it explores mechanisms through which these enhance efficacy reduce effects, evaluates clinical application prospects, identifies challenges future directions. comprehensive analysis aims provide scientific foundation integrated CC, highlighting potential enhancing chemotherapy associated toxicities.

Language: Английский

Citations

6

Detection of small foreign objects in Pu-erh sun-dried green tea: An enhanced YOLOv8 neural network model based on deep Learning DOI
Zejun Wang, Shihao Zhang, Yaping Chen

et al.

Food Control, Journal Year: 2024, Volume and Issue: unknown, P. 110890 - 110890

Published: Sept. 1, 2024

Language: Английский

Citations

6

Intelligent Grading System for Mangosteen Based on Faster-FRNet: Enhancing Accuracy and Efficiency in Post-Harvest Quality Control DOI

Yinping Zhang,

Anis Salwa Mohd Khairuddin, Joon Huang Chuah

et al.

Journal of Food Composition and Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 107394 - 107394

Published: Feb. 1, 2025

Language: Английский

Citations

0

COLD-12: A Multi-Level Feature Extraction Hybrid CNN Model for Accurate Cotton Disease Diagnosis DOI Creative Commons
Md. Asraful Sharker Nirob, Prayma Bishshash, Abu Sayem Md. Siam

et al.

Franklin Open, Journal Year: 2025, Volume and Issue: unknown, P. 100263 - 100263

Published: April 1, 2025

Language: Английский

Citations

0

Phytochemicals with anticancer activity from poisonous plants: potential leads for cancer therapy DOI

Eun Seo Jang,

Youngsang Nam,

Yeo Jin Lee

et al.

Phytochemistry Reviews, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 3, 2024

Language: Английский

Citations

0

Autoencoder‐Based Eggshell Crack Detection Using Acoustic Signal DOI
İsmail Yabanova, Zekeriya BALCI, Mehmet YUMURTACI

et al.

Journal of Food Process Engineering, Journal Year: 2024, Volume and Issue: 47(11)

Published: Nov. 1, 2024

ABSTRACT Breaks or cracks in eggshells offer substantial food safety issues. Bacteria and viruses, particular, are more likely to enter the egg through breaks cracks, increasing risk of poisoning. Furthermore, deformations shell may compromise integrity protective shell, exposing external variables causing it lose freshness decay faster. To reduce such hazards, this research created an innovative crack detection system based on autoencoder (AE) that uses acoustic signals from eggshells. A creates effect by hitting eggshell without damaging was designed, these effects were recorded a microphone. Acoustic signal data size 1 × 1000 fed into k nearest neighbor (kNN), decision tree (DT), support vector machine (SVM) classifiers. AE employed order accommodate raw data's unique features. This model, which reduces size, used with many classifiers able accurately distinguish between intact cracked eggs. The built AE‐based classifier model completed classification procedure 100% accuracy, including microcracks invisible naked eye.

Language: Английский

Citations

0

PlantView: Integrating deep learning with 3D modeling for indoor plant augmentation DOI Creative Commons
Sitara Afzal, H.A. Khan, Jong Weon Lee

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 84, P. 102899 - 102899

Published: Nov. 17, 2024

Language: Английский

Citations

0

Leveraging AI in Ayurvedic Agriculture: A RAG Chatbot for Comprehensive Medicinal Plant Insights Using Hybrid Deep Learning Approaches DOI Creative Commons
Biplov Paneru,

Bipul Thapa,

Bishwash Paneru

et al.

Telematics and Informatics Reports, Journal Year: 2024, Volume and Issue: unknown, P. 100181 - 100181

Published: Dec. 1, 2024

Language: Английский

Citations

0