Geophysical Sensors for Mapping Soil Layers — A Comparative Case Study Using Different Electrical and Electromagnetic Sensors

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	EFITA congress (12. : 2019 : Rhodos) Information and communication technologies for agriculture ; Theme 1: Sensors
1. Verfasser:	Lück, Erika (VerfasserIn)
Weitere Verfasser:	Guillemoteau, Julien (VerfasserIn), Tronicke, Jens (VerfasserIn), Klose, Jana (VerfasserIn), Trost, Benjamin (VerfasserIn)
Pages:	1
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2022
Schlagworte:
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Titel	Jahr	Verfasser
Emerging Sensing Technologies for Precision Agriculture	2022	Kakarla, Sri
Smart Agriculture: A Low-Cost Wireless Sensor Network Approach	2022	Angelis, Ioannis
Potential of Sentinel-2 Satellite and Novel Proximal Sensor Data Fusion for Agricultural Applications	2022	Pandžič, Milos
Evaluating the Performance of a Simulated Softwarized Agricultural Wireless Sensor Network	2022	Batista, José Olimpio R. Jr
Experimental Performance Evaluation Techniques of LoRa Radio Modules and Exploitation for Agricultural Use	2022	Loukatos, Dimitrios
What Does the NDVI Really Tell Us About Crops? Insight from Proximal Spectral Field Sensors	2022	Atherton, Jon
Geoinformation Technologies in Pest Management: Mapping Olive Fruit Fly Population in Olive Trees	2022	Papafilippaki, Androniki
In-field Experiments for Performance Evaluation of a New Low-Cost Active Multispectral Crop Sensor	2022	Tagarakis, Aristotelis C.
Soil Reflectance Spectroscopy for Supporting Sustainable Development Goals	2022	Angelopoulou, Theodora
Proximal Sensing Sensors for Monitoring Crop Growth	2022	Hallik, Lea
Drone Imagery in Support of Orchards Trees Vegetation Assessment Based on Spectral Indices and Deep Learning	2022	Sandric, Ionut
Geophysical Sensors for Mapping Soil Layers — A Comparative Case Study Using Different Electrical and Electromagnetic Sensors	2022	Lück, Erika
Trends in Satellite Sensors and Image Time Series Processing Methods for Crop Phenology Monitoring	2022	Pipia, Luca