Digital weed management – New trends for weed scoring in sugar beet
- Autor/in: Heim, R., S. Streit, D. Koops, M. T. Kuska, S. Paulus
- Jahr: 2022
- Zeitschrift: Sugar Industry 147(6)
- Seite/n: 343-351, doi.org/10.36961/si28804
- Stichworte: digital tools, machine learning, precision agriculture, remote sensing, smart farming
Gefunden in
Abteilung Sensorik & Datenanalyse