Machine Learning Technology and Its Current Implementation in Agriculture

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Bibliographische Detailangaben
Veröffentlicht in:	EFITA congress (12. : 2019 : Rhodos) Information and communication technologies for agriculture ; Theme 2: Data
1. Verfasser:	Anagnostis, Athanasios (VerfasserIn)
Weitere Verfasser:	Asiminari, Gabriela (VerfasserIn), Benos, Lefteris (VerfasserIn), Bochtis, Dionysis D. (VerfasserIn)
Pages:	2
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2022
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Data Fusion and Its Applications in Agriculture	2022	Moshou, Dimitrios E.
Plant Species Detection Using Image Processing and Deep Learning: A Mobile-Based Application	2022	Mangina, Eleni
Machine Learning Technology and Its Current Implementation in Agriculture	2022	Anagnostis, Athanasios
Integrating Spatial with Qualitative Data to Monitor Land Use Intensity: Evidence from Arable Land - Animal Husbandry Systems	2022	Dimopoulos, Thymios
Application Possibilities of IoT-based Management Systems in Agriculture	2022	Tóth, Mihály
Use of Unsupervised Machine Learning for Agricultural Supply Chain Data Labeling	2022	Silva, Roberto F.