Publications by authors named "Vaibhav K Singh"
The global wheat production faces significant challenges due to major rust-causing fungi, namely f. sp. , , and f.
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- This paper explores using Deep Learning and Visual Question Answering systems to improve the detection of wheat rust, a serious disease affecting wheat crops worldwide.
- It introduces the WheatRustDL2024 dataset, consisting of nearly 8,000 images of healthy and infected wheat leaves, designed to train models for accurate and quick disease diagnosis.
- The researchers achieved a high accuracy of 97.69% with a fine-tuned ResNet model and utilized techniques like BLIP to enhance the model’s ability to process images and text, resulting in more relevant diagnostic answers.
This study evaluates the biocontrol efficacy of three bacterial strains DTPF-3, DTBA-11, and DTBS-5) and two fungal strains ( Pusa-5SD and An-27) antagonists, along with their combinations at varying doses (5.0, 7.5, and 10.
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- * The study found that isolate P. lilacinum 6887 effectively inhibited up to 97.55% of M. incognita egg hatching at higher concentrations, with several other isolates also showing strong results.
- * Gas chromatography-mass spectrometry revealed seven nematicidal compounds in these fungi, with P. lilacinum 6553 containing potent fatty acids that caused significant juvenile mortality in nematodes, indicating potential for natural pest control strategies
Background: The coronavirus disease 2019 is a serious and highly contagious disease caused by infection with a newly discovered virus, named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
Objective: A Computer Aided Diagnosis (CAD) system to assist physicians to diagnose Covid-19 from chest Computed Tomography (CT) slices is modelled and experimented.
Methods: The lung tissues are segmented using Otsu's thresholding method.
Article Synopsis
- Evaluating early crop health and yield forecasting is vital for farmers and policymakers to manage risks associated with biotic stress, specifically yellow rust in wheat.
- Field experiments showed that increased yellow rust severity negatively impacted various biophysical parameters of wheat, correlating with significant yield reductions across different cultivars.
- Machine learning models, especially Cubist, PLS, and SpikeSlab, demonstrated varying degrees of accuracy in early yield predictions, improving as the crop matured, illustrating the potential of integrating technology for better agricultural management.
Aim And Objective: The growth of the temporomandibular joint (TMJ) gets affected by multiple factors like aging, occlusion state, and by the movement of the jaw while masticating and swallowing. Radiographic imaging is often utilized as a vital diagnostic adjunct in the evaluation of certain examinations of the TMJ.
Materials And Methods: In this study, 30 male participants with mean age 55 years, having edentulous maxillary and mandibular arches from the Outpatient Department of Prosthodontics, were randomly selected.
Background: Undergraduate students can provide valuable opinions and suggestions for modifying the educational program for the enhancement of learning. Therefore, the aim of this study was to explore the preparedness of undergraduate dental students with regard to practice endodontics in the rural and remote areas of India.
Materials And Methods: The present cross-sectional questionnaire-based study was conducted among dental undergraduates (interns).
Stripe rust caused by Puccinia striiformis f. sp. tritici (Pst) is one of the most devastating diseases of wheat (Triticum spp.
View Article and Find Full Text PDFThe value of exotic wheat genetic resources for accelerating grain yield gains is largely unproven and unrealized. We used next-generation sequencing, together with multi-environment phenotyping, to study the contribution of exotic genomes to 984 three-way-cross-derived (exotic/elite1//elite2) pre-breeding lines (PBLs). Genomic characterization of these lines with haplotype map-based and SNP marker approaches revealed exotic specific imprints of 16.
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