Titlebook: Diseases of Field Crops: Diagnostics and Management; Vaibhav Kumar Singh,Jameel Akhtar,Krishna Pratap S Book 2024 The Editor(s) (if applic

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eases severely affects food security and quality worldwide. Rapid and accurate measurement of diseases assumes importance, and the efforts in bringing it to reality by the scientific community resulted in numerous technological developments. The technologies are based on immunology and the detection

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d worldwide. The highly conserved ribosomal gene sequence (16Sr RNA) is being utilized as the key molecular tool for the identification and taxonomic classification of phytoplasma strains into “. Phytoplasma” species and ribosomal groups and subgroups. However, due to its highly conserved nature, th

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s caused by abiotic stress on crops. The management of PPNs is achieved by using resistant crops, a limited number of chemical nematicides, biological agents, or other cultural methods. The success of all of these management practices, however, depends on early detection and diagnosis of PPNs. The c

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tant issue in formulating management strategies. Since diseased seeds frequently show no symptoms, it is critical to diagnose them early in order to prevent pathogen spread through long-distance germplasm exchange. In order to manage diseases of crops, it is crucial to conduct seed health testing in

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rity. Conventional visual detection and monitoring methods of plant diseases are tedious and costly and require expert knowledge for accurate decisions. Machine learning and deep learning methods are gaining popularity among researchers as automatic disease detection methods which can provide quick

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roducing states in India. Reductions in crop production ranging from 15% to 25% have been documented in different states. This disease not only leads to quantitative losses but also affects the quality of crop production. The incidence of bakanae disease has been steadily increasing, particularly in

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ious, inexpensive, and easy to accomplish with no bioethical controversies. Due to the described reasons, CRISPR technology is also implicated in plant disease management to enhance the harvest potential for up-growing populations with constricted farming land and dynamic environmental conditions. T

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