Papers: 10.1371/journal.pone.0160439
https://doi.org/10.1371/journal.pone.0160439
GiNA, an Efficient and High-Throughput Software for Horticultural Phenotyping
Cited by: 18
Author(s): Luis Díaz-García, Giovanny Covarrubias‐Pazaran, Brandon Schlautman, Juan Zalapa
Published: about 10 years ago
Software Mentions 1
Likely Science (58)