COMPREHENSIVE INVESTIGATION OF MACHINE LEARNING AND DEEP LEARNING NETWORKS FOR IDENTIFYING MULTISPECIES TOMATO INSECT IMAGES

Comprehensive Investigation of Machine Learning and Deep Learning Networks for Identifying Multispecies Tomato Insect Images

Deep learning applications in agriculture are advancing rapidly, leveraging data-driven learning models to enhance crop yield and nutrition.Tomato (Solanum lycopersicum), a vegetable crop, frequently suffers from pest damage and drought, leading to reduced yields and financial losses to farmers.Accurate detection and classification of tomato pests

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Expression of an Efficient Selection Marker Out of a Duplicated Site in the ITRs of a Modified Vaccinia Virus Ankara (MVA)

Background/Objectives: Poxviruses are large DNA viruses that replicate in the host cytoplasm without a nuclear phase.As vaccine vectors, they can package and express large recombinant chaps ralph lauren cologne cassettes from different positions of their genomic core region.We present a comparison between wildtype modified vaccinia Ankara (MVA) and

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