Tomato plant leaves: From by-products to the management of enzymes in chronic diseases

2016 ◽  
Vol 94 ◽  
pp. 621-629 ◽  
Author(s):  
María Figueiredo-González ◽  
Patrícia Valentão ◽  
Paula B. Andrade
2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Garry Egger ◽  
John Dixon

The obesity epidemic and associated chronic diseases are often attributed to modern lifestyles. The term “lifestyle” however, ignores broader social, economic, and environmental determinants while inadvertently “blaming the victim.” Seen more eclectically, lifestyle encompasses distal, medial, and proximal determinants. Hence any analysis of causality should include all these levels. The term “anthropogens,” or “…man-made environments, their by-products and/or lifestyles encouraged by these, some of which may be detrimental to human health” provides a monocausal focus for chronic diseases similar to that which the germ theory afforded infectious diseases. Anthropogens have in common an ability to induce a form of chronic, low-level systemic inflammation (“metaflammation”). A review of anthropogens, based on inducers with a metaflammatory association, is conducted here, together with the evidence for each in connection with a number of chronic diseases. This suggests a broader view of lifestyle and a focus on determinants, rather than obesity and lifestyleper seas the specific causes of modern chronic disease. Under such an analysis, obesity is seen more as “a canary in a mineshaft” signaling problems in the broader environment, suggesting that population obesity management should be focused more upstream if chronic diseases are to be better managed.


2002 ◽  
Vol 47 (Supplement) ◽  
pp. 224-225
Author(s):  
S. Ohno ◽  
K. Tomita-Yokotani ◽  
H. Tsubura ◽  
S. Kosemura ◽  
T. Suzuki ◽  
...  

2021 ◽  
Vol 2 (4) ◽  
pp. 194-201
Author(s):  
Dhaya R

In the olden days, plant diseases could be measured by visual observation and based on the level and severity of the symptoms on plant leaves. Over the day, it became a high-level degree of complexity due to the huge volume of cultivated plants. Now a day, the diseases are very different due to diverted manure procedures, and its diagnosis will be very tough even experienced farmers and agronomists too. Even though, after diagnosis, there is a lack of perfect remedy or mistaken treatment for that. The plants are affecting by many vascular fungal diseases which are widespread in many crops. Fusarium wilt (FW) is one of the fungal diseases in many plants. Mostly the tomato, sweet potatoes, tobacco, legumes, cucurbits plants are affected by this Fusarium oxysporum (FO) disease often due to its soil. The main goal of this research article is used to determine FO disease in the tomato plant leaves. Besides, the proposed algorithm constructs model with two times classifying and identifying the disease for better accuracy. The open database consists of 87k images with 60% affected leaves images, 40% healthy plant leaves too. Our proposed hybrid algorithm is found the disease with 96% accuracy with the huge amount of dataset.


Author(s):  
Balakrishna K. ◽  
Mahesh Rao

Plant diseases are a major threat to the productivity of crops, which affects food security and reduces the profit of farmers. Identifying the diseases in plants is the key to avoiding losses by proper feeding measures to cure the diseases early and avoiding the reduction in productivity/profit. In this article, the authors proposed two methods for identification and classification of healthy and unhealthy tomato leaves. In the first stage, the tomato leaf is classified as healthy or unhealthy using the KNN approach. Later, in the second stage, they classify the unhealthy tomato leaf using PNN and the KNN approach. The features are like GLCM, Gabor, and color are used for classification purposes. Experimentation is conducted on the authors own dataset of 600 healthy and unhealthy leaves. The experimentation reveals that the fusion approach with PNN classifier outperforms than other methods.


2020 ◽  
Vol 89 (5) ◽  
pp. 567-574
Author(s):  
Katsumi Suzuki ◽  
Chiaki Ozawa ◽  
Yoshikazu Kiriiwa

2021 ◽  
Vol 4 (1) ◽  
pp. 1-3
Author(s):  
ONYEMAECHI OBIAZIKWOR ◽  
Hakeem Olalekan SHITTU

Among all the noble nanoparticles, silver nanoparticles have gained boundless interests because of their unique properties such as chemical stability, catalytic and most important antimicrobial activities. This study was carried out to investigate the antibacterial activity of phytosynthesized silver nanoparticles against bacteria pathogens isolated from diseased tomato plant leaves. Silver nanoparticles were synthesized using Citrus peel extract and the formation of nanoparticles was monitored using spectrophotometer. Diseased tomato plant leaves were obtained from a farm located at Ovia North-East Local Government Area, Edo State, Nigeria for the isolation of bacteria pathogens. The isolated bacteria include Pseudomonas sp. and Enterobacter sp. Antibacterial testing using the phytosynthesized silver nanoparticles was carried out via the agar well diffusion method on the test isolates. Zones of inhibition of 10 and 8 mm were obtained for Enterobacter and Pseudomonas species respectively by 100 µl nanoparticles treatment after 24 hours of incubation. This indicated that the phytosynthesized silver nanoparticles have antibacterial activity against the bacterial pathogens. Further studies should be carried out to determine the mode of action of silver nanoparticles and the potential of the test nanoparticles in plant disease management. The potential of members of the genus, Enterobacter as causative agents of plant diseases should be further investigated.


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