Open AccessHigh throughput saliency-based quantification of grape powdery mildew at the microscopic level for disease resistance breeding
Author(s) -
Tian Qiu,
Anna Underhill,
Surya Sapkota,
Lance CadleDavidson,
Jiguo Yu
Publication year - 2022
Publication title -
horticulture research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.947
H-Index - 31
eISSN - 2662-6810
pISSN - 2052-7276
DOI - 10.1093/hr/uhac187
Subject(s) - powdery mildew , biology , bottleneck , phenomics , convolutional neural network , pipeline (software) , population , artificial intelligence , pattern recognition (psychology) , computer science , agronomy , genetics , gene , genome , genomics , programming language , demography , sociology , embedded system