Papers: 10.1371/journal.pone.0249136

https://doi.org/10.1371/journal.pone.0249136

Machine learning models based on remote and proximal sensing as potential methods for in-season biomass yields prediction in commercial sorghum fields

Cited by: 7
Author(s): Ephrem Habyarimana, Faheem Shehzad Baloch
Published: over 5 years ago

Software Mentions 1

pypi: PACE
Data Quality of Experimental Data
Papers that mentioned: 13,779
Very Likely Science (90)