| dc.contributor.author |
Sigrimis, N |
en |
| dc.contributor.author |
Antsaklis, P |
en |
| dc.contributor.author |
Groumpos, PP |
en |
| dc.date.accessioned |
2014-06-06T06:44:34Z |
|
| dc.date.available |
2014-06-06T06:44:34Z |
|
| dc.date.issued |
2001 |
en |
| dc.identifier.issn |
02721708 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1109/37.954516 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/1956 |
|
| dc.subject.other |
Agricultural products |
en |
| dc.subject.other |
Artificial intelligence |
en |
| dc.subject.other |
Automation |
en |
| dc.subject.other |
Computer control systems |
en |
| dc.subject.other |
Database systems |
en |
| dc.subject.other |
Evolutionary algorithms |
en |
| dc.subject.other |
Greenhouses |
en |
| dc.subject.other |
Mathematical models |
en |
| dc.subject.other |
Mechanization |
en |
| dc.subject.other |
Molecular biology |
en |
| dc.subject.other |
Neural networks |
en |
| dc.subject.other |
Production engineering |
en |
| dc.subject.other |
Robotics |
en |
| dc.subject.other |
Sustainable development |
en |
| dc.subject.other |
Systems engineering |
en |
| dc.subject.other |
Agricultural systems |
en |
| dc.subject.other |
Data-based mechanistics (DBM) |
en |
| dc.subject.other |
Agriculture |
en |
| dc.subject.other |
Automatic Systems |
en |
| dc.title |
Advances in control of agriculture and the environment |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1109/37.954516 |
en |
| heal.publicationDate |
2001 |
en |
| heal.abstract |
The recent advances in sensing, information, automation, and control technologies are providing researchers with means to explore new areas in plant physiological requirements. The ability to provide specialized environments and the emerging diagnostic techniques for cellular differentiation, segmentation, elongation, and whole-plant imaging are opening further avenues for research. The research improves the basic understanding of physiological processes and enhances the ability to apply the knowledge in efficient production control systems. The manufacturing technologies such as discrete-event systems and lattice theory must be applied to field production and supply chain management operations. |
en |
| heal.journalName |
IEEE Control Systems Magazine |
en |
| dc.identifier.issue |
5 |
en |
| dc.identifier.volume |
21 |
en |
| dc.identifier.doi |
10.1109/37.954516 |
en |
| dc.identifier.spage |
8 |
en |
| dc.identifier.epage |
12 |
en |