Alfred, R., Leo, J., & Kaijage, S. F. Optimizing dataset diversity for a robust deep-learning model in rice blast disease identification to enhance crop health assessment across diverse conditions. Elsevier.
Chicago Style (17th ed.) CitationAlfred, Reuben, Judith Leo, and Shubi Felix Kaijage. Optimizing Dataset Diversity for a Robust Deep-learning Model in Rice Blast Disease Identification to Enhance Crop Health Assessment Across Diverse Conditions. Elsevier.
MLA (9th ed.) CitationAlfred, Reuben, et al. Optimizing Dataset Diversity for a Robust Deep-learning Model in Rice Blast Disease Identification to Enhance Crop Health Assessment Across Diverse Conditions. Elsevier.
Warning: These citations may not always be 100% accurate.