نتایج جستجو برای: leaf diseases

تعداد نتایج: 930830  

Journal: :Journal of physics 2021

Abstract Rice is one of the important food crops for humans. The yield this crop affected by several factors, them climate change. irregularities can cause were infected various diseases. By knowing diseases through its unusual characteristics, fast remedial actions could be expected. purpose essay to find best artificial neural network (ANN) architecture in classifying brown spot and leaf smut...

2017
Leali Heyman Yael Houri-Haddad Samuel N Heyman Isaac Ginsburg Yossi Gleitman Osnat Feuerstein

BACKGROUND The common usage of chewing sticks prepared from Neem tree (Azadirachta indica) in India suggests its potential efficacy in periodontal diseases. The objective of this study is to explore the antibacterial effects of Neem leaf extract on the periodontophatic bacteria Porphyromonas gingivalis and Fusobacterium nucleatum, and its antioxidant capacities alone and in combination with bac...

2016
Feng Qin Dongxia Liu Bingda Sun Liu Ruan Zhanhong Ma Haiguang Wang

Common leaf spot (caused by Pseudopeziza medicaginis), rust (caused by Uromyces striatus), Leptosphaerulina leaf spot (caused by Leptosphaerulina briosiana) and Cercospora leaf spot (caused by Cercospora medicaginis) are the four common types of alfalfa leaf diseases. Timely and accurate diagnoses of these diseases are critical for disease management, alfalfa quality control and the healthy dev...

ژورنال: بوم شناسی آبزیان 2017
Rigi, Mahin, Sanchooli, Narjes,

This study aimed at investigating the antibacterial effects of extracts from leaf, fruit, and stem of Solanum nigrum on fish pathogenic bacteria. The extraction process was done using the rotary device. The leaf methanol extract and the fruit acetone extract (MIC and MBC of 25 and 12.5 ppm, respectively) showed stronger antibacterial properties. The Streptococcus iniae were the most resistant b...

2011
S. Pande M. Sharma S. Kumari P. M. Gaur W. Chen L. Kaur

Of the most important food legumes grown world over, chickpea (Cicer arietinum L.), lentil (Lens culinaris Medik.), faba bean (Vicia faba L.), grasspea (Lathyrus sativus L.) and field pea (Pisum sativum L.) are grown in cool season, while pigeonpea (Cajanus cajan (L.) Millsp.), blackgram (Vigna mungo (L.) Hepper), mungbean (V. radiata (L.) Wilczek), horsegram (Macrotyloma uniflorum (Lam.) Verdc...

2016
Yi-Ru Lai Pei-Yu Lin Chao-Ying Chen Chien-Jui Huang

Dithiocarbamate fungicides such as maneb and mancozeb are widely used nonsystemic protectant fungicides to control various plant fungal diseases. Dithiocarbamate fungicides should be frequently applied to achieve optimal efficacy of disease control and avoid either decline in effectiveness or wash-off from leaf surface. Dithiocarbamates are of low resistance risk but have the potential to cause...

2010
W. N. CHRISTOPHER

In the spring of 1927 leaf-stripe diseases, with symptoms similar to those of certain tropical bacterial diseases, occurred commonly on sugarcane throughout the entire sugar belt of Louisiana (2)/ As no bacterial diseases of cane had been known to occur in Louisiana, investigations to determine the identity and importance of these troubles were started. As a result of these investigations, thre...

2012
Manoj Mukherjee Debabrata Samanta

In an agriculture field paddy is one of the major staple foods in the Asian countries like China, India, Indonesia, and Bangladesh etc. But paddy disease likes a Blast; Bacterial Leaf Blight; Rice tungro etc. stops the growth of the paddy trees. If the diseases are not detected at an early possible stage then there is a decrease in the production of paddy. In this paper a noble methodology i.e....

Journal: :IEEE Access 2023

Plant diseases are one of the primary causes decreased agricultural production quality and quantity. With ongoing changes in plant structure cultivation techniques, new constantly arising on leaves. Thus, accurate classification detection leaf their early stages will limit spread infection support healthy development production. This work proposes a novel lightweight deep convolutional neural n...

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