Name
Abstract | ||
|---|---|---|
•The consumption of poultry meat has increased 17.96% over the last decade.•Sensor networks are used in agroindustry to collect large amounts of data, withing short periods of time.•Knowledge can be derived by applying machine learning algorithms over these data, generating usable models for decision making.•We generate action plans for poultry daily management using Artificial Neural Networks.•The result is a model that suggests actions plans to improve broilers production. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.compag.2018.02.017 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Poultry management,Sensing,Machine learning,Data processing,Neural artificial networks | Control theory,Best practice,Development environment,Operations research,Control engineering,Automatic control,System interface,Engineering,Artificial neural network,Wireless sensor network,Perception | Journal |
Volume | ISSN | Citations |
161 | 0168-1699 | 0 |
PageRank | References | Authors |
0.34 | 8 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Richardson Ribeiro | 1 | 43 | 11.12 |
| Dalcimar Casanova | 2 | 287 | 14.87 |
| Marcelo Teixeira | 3 | 19 | 8.07 |
| André Wirth | 4 | 0 | 0.34 |
| Heitor Murilo Gomes | 5 | 155 | 17.36 |
| André Pinz Borges | 6 | 0 | 0.34 |
| Fabrício Enembreck | 7 | 274 | 38.42 |