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B. Megala Devi, Samyuktha Guruprasath, Pooraniammal Balu, Anirudha Chattopadhyay, Siva Sudha Thilagar, Kanaga Vijayan Dhanabalan, Manoj Choudhary, Swarnalatha Moparthi and A. Abdul Kader Jailani
Recent advancements in molecular biology have revolutionized plant disease diagnosis and management. This review focuses on disease diagnosis through serological techniques, isothermal amplification methods, CRISPR-based approaches, and management strate...
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Mridupol Handique, Popy Bora, Vasileios Ziogas, Anoop Kumar Srivastava, Prasanth Tej Kumar Jagannadham and Asish Kumar Das
Phytophthora gummosis, foot rot, and root rot are considered major challenges to the citrus industry worldwide. Little is known about the Phytophthora?microbiome interaction, despite several studies demonstrating changes in the microbial composition of t...
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Rachid Ezzouggari, Jamila Bahhou, Mohammed Taoussi, Najwa Seddiqi Kallali, Kamal Aberkani, Essaid Ait Barka and Rachid Lahlali
Citrus fruits stand as pivotal and extensively cultivated fruit crops on a global scale, boasting substantial economic and nutritional significance. Despite their paramount importance, citrus growers and the industry face a formidable obstacle in the for...
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Yi Zhang, Hongrui Yu, Tong Zhao, Iqbal Hussain, Xinyan Ma, Yuqi Wang, Kaiwen Liu, Nairan Sun and Xiaolin Yu
Clubroot, caused by Plasmodiophora brassicae, is a destructive soil-borne disease significantly harming global Brassica crop production. This study employed the Williams and European Clubroot Differential (ECD) and Williams systems to identify the pathot...
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Luana Centorame, Thomas Gasperini, Alessio Ilari, Andrea Del Gatto and Ester Foppa Pedretti
Machine learning is a widespread technology that plays a crucial role in digitalisation and aims to explore rules and patterns in large datasets to autonomously solve non-linear problems, taking advantage of multiple source data. Due to its versatility, ...
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Dimitris C. Gkikas, Marios C. Gkikas and John A. Theodorou
The specific application of this work involves the development of an intelligent system for diagnosing and treating fish diseases in Greek fish farming. The project aims to enhance the competitiveness of Greek fish farming by addressing the increasing mo...
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Despoina Nteli, Maria Nteli, Konstantinos Konstantinidis, Anastasia Foka, Foteini Charisi, Iliana Michailidou, Sotiria Stavropoulou De Lorenzo, Marina Boziki, Maria Tzitiridou-Chatzopoulou, Evangelia Spandou, Constantina Simeonidou, Christos Bakirtzis and Evangelia Kesidou
Argininemia or arginase-1 deficiency constitutes a rare, genetic, metabolic disorder caused by mutations in arginase 1?the last enzyme of the urea cycle?that hydrolyses L-arginine to ornithine and urea. The disease is associated with progressive developm...
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Rejath Jose, Faiz Syed, Anvin Thomas and Milan Toma
The advancement of machine learning in healthcare offers significant potential for enhancing disease prediction and management. This study harnesses the PyCaret library?a Python-based machine learning toolkit?to construct and refine predictive models for...
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Zhiqing Guo, Xiaohui Chen, Ming Li, Yucheng Chi and Dongyuan Shi
Peanut leaf spot is a worldwide disease whose prevalence poses a major threat to peanut yield and quality, and accurate prediction models are urgently needed for timely disease management. In this study, we proposed a novel peanut leaf spot prediction me...
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Chuang Li, Baoqi Yuan, Chuan Zhang, Qi Yao, Hongxia He, Qingfeng Wang, Jinping Liang, Nan Li, Xu Zhu and Zhongwei Wang
Potato scab, a global soil-borne disease caused by Streptomyces, is pivotal in developing resistant cultivars due to its complex resistance mechanisms. This study investigates the transcriptomic responses in potato to common scab using resistant variety ...
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