Development of a Web-based Tomato Plant Disease Detection and Diagnosis System using Transfer Learning Techniques DOI Open Access

Ogunbiyi TE,

Mustapha AM,

Eturhobore EJ

et al.

Annals of Civil and Environmental Engineering, Journal Year: 2024, Volume and Issue: 8(1), P. 076 - 086

Published: Sept. 13, 2024

A significant obstacle to agricultural productivity that jeopardizes the availability of food is crop diseases and farmer livelihoods by reducing yields. Traditional visual assessment methods for disease diagnosis are effective but complex, often requiring expert observers. Recent advancements in deep learning indicate potential increasing accuracy automating identification. Developing accessible diagnostic tools, such as web applications leveraging CNNs, can provide farmers with efficient accurate identification, especially regions limited access advanced technologies. The main goal develop a productive system recognize tomato plant diseases. model was trained on collection images healthy damaged leaves from PlantVillage using transfer techniques. dataset were cleansed resizing them 256 × 224 match dimensions used pre-trained models min-max normalization. An evaluation VGG16, VGG19, DenseNet121 based performance loss value 7 categories tomatoes guided selection most practical application. VGG16 achieved 84.54% accuracy, VGG19 84.62%, 98.28%, making chosen due its highest accuracy. application development architecture integrated Django framework, which built Python. This enables real-time uploaded leaves. proposed allows early detection diseases, helping mitigate losses. supports sustainable farming practices increases productivity.

Language: Английский

Mendelian randomization evidence based on European ancestry for the causal effects of leukocyte telomere length on prostate cancer DOI Creative Commons
Xinrui Wu, Cong Hu, Tianyang Wu

et al.

Human Genomics, Journal Year: 2024, Volume and Issue: 18(1)

Published: June 3, 2024

Several lines of evidence suggest that leukocyte telomere length (LTL) can affect the development prostate cancer (PC). Here, we employed single nucleoside polymorphisms (SNPs) as instrumental variables (IVs) for LTL (n = 472,174) and conducted Mendelian randomization analysis to estimate their causal impact on PCs (79,148 patients/61,106 controls 6311 patients/88,902 controls). Every 1-s.d extension increased risk by 34%. Additionally, candidate mediators between via two-step revealed among 23 candidates, Alzheimer's disease, liver iron content, sex hormone binding global levels, naive CD4-CD8-T cell% T cell, circulating leptin levels played substantial mediating roles. There is no robust support reverse relationship selected PCs. Adjusting former four mediators, rather than adjusting decreased This study provides potential intervention measures preventing LTL-induced

Language: Английский

Citations

0
The Potential Protective Effect for Some Nutritional Sources of Lycopene on Prostatic Hypertrophy in Rats DOI Open Access

Rabab Saad,

Suzan Saad,

Ola Ibrahim El-Desoky

et al.

The Egyptian Journal of Hospital Medicine, Journal Year: 2024, Volume and Issue: 95(1), P. 2212 - 2218

Published: April 1, 2024

Background: Benign prostatic hyperplasia (BPH) is of the stromal and epithelial layers prostate.The prostate has an important role in success fertilization most mammalian species.Objective: This studyaimed at evaluating protective effect lycopene, red pepper, papaya extracts on hypertrophy rats.Materials methods: Forty-two mature male albino rats were divided into 7 groups, each group had six rats.Group 1, control received only corn oil.In Group 2 (BPH), given intraperitoneal (i.p.) injection 5 mg/kg for 14 days testosterone propionate (TP), dissolved oil.Group 3 4 mg/kg/day lycopene.Group 250 500 sweet pepper fruit extract distilled water.Group 6 water.The doses via gastric tube daily 28 consecutive days.At end experimental period, sacrificed, weights rats, feed intake, efficiency ratio, recorded.Liver enzymes sperm characteristics count determined.Results: Oral administration ethanolic fruits improved intake (FI), body weight gain % (BWG%), ratio (FER), weight, liver enzymes, count, motility.Conclusion: Papaya are a powerful remedy to normalize testosterone-induced BPH rats.

Language: Английский

Citations

0
Chemical Implications of apo-8, 6’ Carotendial versus Intact Lycopene on Mechanism of Enhanced Cell-cell Communication and Apoptosis Induction in Breast Cancer Cells DOI

Bangalore Prabhashankar Arathi,

D. James Bound,

Rudrappa Ambedkar

et al.

Cell Biochemistry and Biophysics, Journal Year: 2024, Volume and Issue: 82(4), P. 3517 - 3533

Published: July 31, 2024

Language: Английский

Citations

0
Trace Toxins: The Key Component of a Healthful Diet DOI Creative Commons
J. A. Stone, Rebecca S. Mason, John Mitrofanis

et al.

Dose-Response, Journal Year: 2024, Volume and Issue: 22(3)

Published: July 1, 2024

Although it is well established that a vegetable-rich (Mediterranean) diet associated with health benefits in later life, the mechanisms and biological origins of this benefit are not established. This review seeks to identify components healthful reduce individual’s suffering from non-communicable disease extend longevity. We note difference between claims made for an essential (that prevents deficiency syndromes) those argued also or delays diseases ask: what chemicals our food induce added resilience, which effective against cardiovascular neurodegenerative diseases, diabetes even cancer? Working framework acquired resilience (tissue induced by range stresses), we arguethat toxins evolved plants as part allelopathy (the competition plant species) key making ‘healthful difference’. further suggest recognition category micronutrients additional ‘micro’ categories vitamins trace elements new be called ‘trace toxins’. Implications these suggestions discussed.

Language: Английский

Citations

0
Development of a Web-based Tomato Plant Disease Detection and Diagnosis System using Transfer Learning Techniques DOI Open Access

Ogunbiyi TE,

Mustapha AM,

Eturhobore EJ

et al.

Annals of Civil and Environmental Engineering, Journal Year: 2024, Volume and Issue: 8(1), P. 076 - 086

Published: Sept. 13, 2024

A significant obstacle to agricultural productivity that jeopardizes the availability of food is crop diseases and farmer livelihoods by reducing yields. Traditional visual assessment methods for disease diagnosis are effective but complex, often requiring expert observers. Recent advancements in deep learning indicate potential increasing accuracy automating identification. Developing accessible diagnostic tools, such as web applications leveraging CNNs, can provide farmers with efficient accurate identification, especially regions limited access advanced technologies. The main goal develop a productive system recognize tomato plant diseases. model was trained on collection images healthy damaged leaves from PlantVillage using transfer techniques. dataset were cleansed resizing them 256 × 224 match dimensions used pre-trained models min-max normalization. An evaluation VGG16, VGG19, DenseNet121 based performance loss value 7 categories tomatoes guided selection most practical application. VGG16 achieved 84.54% accuracy, VGG19 84.62%, 98.28%, making chosen due its highest accuracy. application development architecture integrated Django framework, which built Python. This enables real-time uploaded leaves. proposed allows early detection diseases, helping mitigate losses. supports sustainable farming practices increases productivity.

Language: Английский

Citations

0