Name
Title | ||
|---|---|---|
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review. |
Abstract | ||
|---|---|---|
•Review of studies in crop yield prediction and N status estimation via ML techniques.•Comparison of different ML techniques in application to the same task in PA.•Discussion on ML techniques used in the reviewed studies. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compag.2018.05.012 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Vegetation indices,Features extraction,Predictive modelling,Decision making,Information fusion | Signal processing,Crop yield,Environmental impact assessment,Decision support system,Precision agriculture,Agriculture,Artificial intelligence,Engineering,Hybrid system,Machine learning | Journal |
Volume | ISSN | Citations |
151 | 0168-1699 | 8 |
PageRank | References | Authors |
0.60 | 22 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anna Chlingaryan | 1 | 30 | 3.61 |
| Salah Sukkarieh | 2 | 1142 | 141.84 |
| Brett Whelan | 3 | 9 | 1.98 |