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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Disputed paternity presumption in Burkina Faso: determination of the biological fathers of children using ABO-rhesus/hemoglobin electrophoresis and STR assays

Abstract Background In resource-limited countries, ABO, HLA, MNS, Kells, and hemoglobin electrophoresis are classic tests for the resolution of paternity disputes tennessee vols boots due to their affordable cost.The limitations of these tests in cases of disputed paternity require the use of Short Tandem Repeats (STR) for their certification.This

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