Using Machine-Learning to Enhance Agricultural Productivity in Turkey: The Importance of Soil Moisture, Temperature and Precipitation Patterns
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, cilt.21, ss.6981-6998, 2024 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 21
- Basım Tarihi: 2024
- Doi Numarası: 10.1007/s13762-023-05439-x
- Dergi Adı: INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Agricultural & Environmental Science Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), Biotechnology Research Abstracts, CAB Abstracts, Compendex, Environment Index, Geobase, INSPEC, Pollution Abstracts, Veterinary Science Database
- Sayfa Sayıları: ss.6981-6998
- Yıldız Teknik Üniversitesi Adresli: Evet