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153 results for “Plant Disease”
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Review ArticleOpen accessEvery word in the titleAdvances in Modern Biotechnological Tools for Sustainable Control of Plant Viral DiseasesNabela Akter, Ankita Saha, Md. Abdullah Al Sabbir, Md. Motaher HossainPlant viruses pose a major threat to global food production, causing yield losses across many staple and horticultural crops. Conventional breeding for resistance is typically slow and constrained by the number of available natural resistance genes. Recent breakthroughs in biotechnology have enabled the development of accurate, flexible, and environmentally friendly technologies to confer virus resistance. This review summarizes exciting developments … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 16 Jul 2026 · 726 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Backward Regressed Capsule Neural Network for Plant Leaf Disease DetectionJennifer Jepkoech, Benson Kipkemboi Kenduiywo, David Muchangi Mugo, Edna Chebet ToolThis study investigated the introduction ofbackward regression coupled with DenseNet features in a Capsule Neural Network(CapsNet) for plant leaf disease classification. Plant diseases are consideredone of the main factors influencing food production and therefore fast cropdisease detection and recognition are important in enhancing food securityinterventions. CapsNets have successfully been adopted for plant leaf diseaseclassification however, backpropagation of signals to preceding … …Journal of Computer Science, Vol. 18, Issue 9 · 8 Sep 2022 · 5,718 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEffects of Root Rot in Soybean Cultivars with Diverse Susceptibility to the Disease on Plant Physiology, Yield, Amino Acids and Mycotoxins Profile in Climatic Conditions of KazakhstanNurlan Kuldybayev, Yerlan Dutbayev, Bozena Lozowicka et al.Soybean is an important high-value crop but susceptible to soil-borne diseases. A field trial was conducted in Kazakhstan to evaluate the effects of soybean cultivars and Fusarium root rot severity on soybean crop physiology, chlorophyll fractions and amino acids profile. The highest yield was achieved in 2018 (up to 4 t ha-1) for K-9648 cultivar. The greatest root rot severity … …OnLine Journal of Biological Sciences, Vol. 21, Issue 4 · 27 Dec 2021 · 6,299 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEffect of Endophytic Treatments on Plant Growth Performance and Disease Incidences in Soybean (Glycine max (L.) Merril) Cultivar JS-335 against Challenge Inoculation with R. solaniJitendra Dalal, Nikhilesh KulkarniEndophytes could be efficient biological control agent in sustainable crop production and offer unique opportunity for crop protection and biological control. Present study was carried out to investigate the effects of indigenous endophytic microorganisms Pseudomonas sp., Bacillus sp., Burkholderia sp. Streptomyces sp., Actinoplanes sp., Alternaria sp. and Fusarium sp. on plant growth and disease control against challenge inoculation with Rhizoctonia … …American Journal of Agricultural and Biological Sciences, Vol. 10, Issue 2 · 13 Jul 2015 · 7,669 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleProteomics Approach for Investigating the Disease Resistance Using Cucumber as Model PlantSaligrama A. Deepak, Junko Shibato, Hideo Ishii et al.The profile of proteins induced in cucumber leaves pretreated with Acibenzolar-S-Methyl (ASM) and challenge inoculated with Colletotrichum orbiculare are presented. ASM was applied to the first leaf and the third leaf collected at different time intervals of 0-48 h and the total protein extracted using trichloroacetic acid acetone was analyzed by two-dimensional gel electrophoresis. Increased expressions of pyridoxine biosynthesis protein, … …American Journal of Biochemistry and Biotechnology, Vol. 4, Issue 3 · 30 Sep 2008 · 7,240 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTomato Leaf Disease Detection by Hybrid Ai and Ml TechnologyP. Loganathan, M. John Britto, Vinston RajaDiseases that affect plants contribute to productivity decline, but they can be managed with ongoing monitoring. It is time-consuming and prone to error to track plant diseases manually. Early disease detection using Artificial Intelligence (AI) and machine vision can lessen negative impacts while also overcoming some of the limitations of continuous human monitoring. Therefore, this study uses both Deep Learning … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,881 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Novel Deep Learning Approach for Tomato Leaf Disease Detection Using Optimized CNN ArchitectureSunil K. Vithalani, Vipul K. DabhiEarly disease detection in plants is essential for sustaining agricultural yield and guaranteeing food security. A comparative analysis of transformer-based and convolutional based deep learning models for classifying tomato leaf diseases is presented. Specifically, it examines the performance of a Vision Transformer (ViT), tested both in a form of scratch training setup and through transfer learning, against well-known CNN architectures … …Journal of Computer Science, Vol. 22, Issue 1 · 7 Feb 2026 · 3,917 accessesView PDFCite
Review ArticleOpen accessIn the keywordsA Systematic Review of Artificial Intelligence and Deep Learning Approaches for Cocoa Pod Disease DetectionHenry Techie-Menson, Michael Asante, Yaw Marfo Missah et al.Cocoa pod diseases destroy an estimated 700,000 metric tons of cocoa annually, threatening 40–50 million smallholder farmers across tropical regions. Accurate field diagnosis remains constrained by symptom similarity, labour-intensive scouting, and limited specialist access in remote communities. This paper presents a PRISMA-guided systematic review of 25 peer-reviewed studies on automated cocoa pod disease detection and classification (2016–2026), addressing architectural approaches, … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 733 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFarmer-Friendly Mobile Application for Automated Leaf Disease Detection of Real-Time Augmented Data Set using Convolution Neural NetworksRishiikeshwer B. S., T. Aswin Shriram, J. Sanjay Raju et al.In farming, crops are prone to a wide variety of diseases. The impact of sudden climatic change has adverse effects on their growth, providing incubation to harmful viruses and bacteria. Diseases to crops imply a significant negative impact on health, economy and livelihood of the human population. According to the data from the Food and Agricultural Organization (FAO), an average … …Journal of Computer Science, Vol. 16, Issue 2 · 24 Aug 2019 · 8,987 accessesView PDFCite