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

и другие.

Annals of Civil and Environmental Engineering, Год журнала: 2024, Номер 8(1), С. 076 - 086

Опубликована: Сен. 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.

Язык: 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

и другие.

Human Genomics, Год журнала: 2024, Номер 18(1)

Опубликована: Июнь 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

Язык: Английский

Процитировано

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

и другие.

The Egyptian Journal of Hospital Medicine, Год журнала: 2024, Номер 95(1), С. 2212 - 2218

Опубликована: Апрель 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.

Язык: Английский

Процитировано

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

и другие.

Cell Biochemistry and Biophysics, Год журнала: 2024, Номер 82(4), С. 3517 - 3533

Опубликована: Июль 31, 2024

Язык: Английский

Процитировано

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

и другие.

Dose-Response, Год журнала: 2024, Номер 22(3)

Опубликована: Июль 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.

Язык: Английский

Процитировано

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

и другие.

Annals of Civil and Environmental Engineering, Год журнала: 2024, Номер 8(1), С. 076 - 086

Опубликована: Сен. 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.

Язык: Английский

Процитировано

0