Nanotechnology and Plant Disease Diagnosis and Management

Nanoagronomy ◽  
2020 ◽  
pp. 101-123 ◽  
Author(s):  
Afifa Younas ◽  
Zubaida Yousaf ◽  
Madiha Rashid ◽  
Nadia Riaz ◽  
Sajid Fiaz ◽  
...  
Keyword(s):  
Plant Disease ◽  
Disease Diagnosis ◽  
Diagnosis And Management ◽  
Plant Disease Diagnosis

Use of TEM in Plant Disease Diagnosis: A Xylem-Limited Bacterium Associated with Diseased ‘Toronto’ Creeping Bentgrass

1981 ◽  
Vol 39 ◽  
pp. 414-415
Author(s):  
Karen K. Baker ◽  
David L. Roberts
Keyword(s):  
Osmium Tetroxide ◽  
Plant Disease ◽  
Leaf Tissue ◽  
Infectious Agent ◽  
Creeping Bentgrass ◽  
Disease Diagnosis ◽  
Unknown Etiology ◽  
Agrostis Palustris ◽  
Putting Greens ◽  
Plant Disease Diagnosis

Plant disease diagnosis is most often accomplished by examination of symptoms and observation or isolation of causal organisms. Occasionally, diseases of unknown etiology occur and are difficult or impossible to accurately diagnose by the usual means. In 1980, such a disease was observed on Agrostis palustris Huds. c.v. Toronto (creeping bentgrass) putting greens at the Butler National Golf Course in Oak Brook, IL.The wilting symptoms of the disease and the irregular nature of its spread through affected areas suggested that an infectious agent was involved. However, normal isolation procedures did not yield any organism known to infect turf grass. TEM was employed in order to aid in the possible diagnosis of the disease.Crown, root and leaf tissue of both infected and symptomless plants were fixed in cold 5% glutaraldehyde in 0.1 M phosphate buffer, post-fixed in buffered 1% osmium tetroxide, dehydrated in ethanol and embedded in a 1:1 mixture of Spurrs and epon-araldite epoxy resins.

Molecular techniques used in plant disease diagnosis

2021 ◽  
pp. 405-421
Author(s):  
Swapnil Sapre ◽  
Iti Gontia-Mishra ◽  
Vishwa Vijay Thakur ◽  
Sumana Sikdar ◽  
Sharad Tiwari
Keyword(s):  
Plant Disease ◽  
Disease Diagnosis ◽  
Molecular Techniques ◽  
Plant Disease Diagnosis

scholarly journals Detection of Cotton Leaf Disease Using Image Processing Techniques

2021 ◽  
Vol 2062 (1) ◽  
pp. 012009
Author(s):  
Sushreeta Tripathy
Keyword(s):  
Image Processing ◽  
Plant Disease ◽  
Region Of Interest ◽  
Texture Features ◽  
Disease Diagnosis ◽  
Cotton Leaf ◽  
Diagnosis System ◽  
Image Processing Techniques ◽  
Plant Disease Diagnosis ◽  
Processing Techniques

Abstract In the area of research, diagnosis of disease symptoms in the plants duly applying image processing methods is a matter of big concern. The need of the hour is to prepare an efficient plant disease diagnosis system that can help the farmers in their cultivation and farming. This work is an attempt to prepare a framework of plant disease diagnosis system by using the cotton plant leaves. The digital pictures of cotton leaves are obtained to undergo a set of image processing techniques. Thresholding based segmentation techniques are used to remove the region of interest (ROI) i.e., infected part from the enhanced images. Consequently, diseases are detected from the region of interest by using an accurate set of visual texture features. At last treatment actions are taken to supervise the diseases found in the plants. This work will help the farmer’s society to take effective measures to protect their crops from diseases.

scholarly journals PLANT DISEASE DIAGNOSIS AND SOLUTION SYSTEM BASED ON NEURAL NETWORKS

2021 ◽  
Vol 12 (4) ◽  
pp. 1084-1092
Author(s):  
N. V. Megha Chandra Reddy ◽  
K. Ashish Reddy ◽  
Sushanth G ◽  
Sujatha S.
Keyword(s):  
Neural Networks ◽  
Plant Disease ◽  
Disease Diagnosis ◽  
Solution System ◽  
Plant Disease Diagnosis
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