ENHANCED RECOGNITION AND COUNTING OF HIGH-COVERAGE AMORPHOPHALLUS KONJAC BY INTEGRATING UAV RGB IMAGERY AND DEEP LEARNING

Enhanced recognition and counting of high-coverage Amorphophallus konjac by integrating UAV RGB imagery and deep learning

Abstract Accurate counting of Amorphophallus konjac (Konjac) plants can offer valuable insights for agricultural management and yield prediction.While current studies have primarily focused on detecting and counting crop plants during the early stages of low coverage, there is limited investigation into the later stages of high coverage, which coul

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Development of Rice Variety With Durable and Broad-Spectrum Resistance to Blast Disease Through Marker-Assisted Introduction of Pigm Gene

Rice blast, caused by Magnaporthe oryzae (M.oryzae), is one of the most destructive diseases threatening rice production worldwide.Development of resistant cultivars using broad-spectrum resistance (R) genes with high breeding value is the most effective and economical approach to control this disease.In this study, the breeding potential of Pigm g

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