Papers: 10.3390/s19112448
https://doi.org/10.3390/s19112448
Non-Invasive Sensing of Nitrogen in Plant Using Digital Images and Machine Learning for Brassica Campestris ssp. Chinensis L.
Cited by: 19
Author(s): Xin Xiong, Zhang Jing-jin, Doudou Guo, Liu Chang, Danfeng Huang
Published: about 7 years ago
Software Mentions 4
cran: e1071
Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU WienPapers that mentioned: 419
Very Likely Science (85)
cran: nnet
Feed-Forward Neural Networks and Multinomial Log-Linear ModelsPapers that mentioned: 296
Very Likely Science (93)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and RegressionPapers that mentioned: 1,447
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Very Likely Science (80)