CYTOLOGICAL AND MOLECULAR CHARACTERIZATION OF QUANTITATIVE TRAIT LOCUS QRFG1, WHICH CONFERS RESISTANCE TO GIBBERELLA STALK ROT IN MAIZE

Cytological and Molecular Characterization of Quantitative Trait Locus qRfg1, Which Confers Resistance to Gibberella Stalk Rot in Maize

Tremendous progress a&d ej-123 has been made recently in understanding plant response to Fusarium graminearum infection.Here, the cytological aspect and molecular mechanism of maize defense to F.graminearum infection were characterized using a pair of near-isogenic lines (NIL), the resistant and the susceptible NIL.F.graminearum primarily penetrate

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INTEGRATION OF DEEP LEARNING MODELS FOR VEHICLE COUNTING: TOWARDS OPTIMIZED PLANNING OF URBAN CHARGING INFRASTRUCTURES

Amidst the rising prevalence of electric vehicles (EV) and the corresponding need for adequate charging infrastructures, this study presents an innovative application of deep learning models to analyze urban traffic.Utilizing the YOLO v3 model, our research focuses on developing a prototype for counting vehicles at an urban roundabout connecting th

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