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Nieto, J
Bantchina, B
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Authors
Walter, A
Khanna, R
Lottes, P
Stachniss, C
Siegwart, R
Nieto, J
Liebisch, F
Bantchina, B
Topics
Applications of Unmanned Aerial Systems
Proximal and Remote Sensing of Soils and Crops (including Phenotyping)
Type
Oral
Year
2018
2024
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1. Flourish - A Robotic Approach for Automation in Crop Management

The Flourish project aims to bridge the gap between current and desired capabilities of agricultural robots by developing an adaptable robotic solution for precision farming. Combining the aerial survey capabilities of a small autonomous multi-copter Unmanned Aerial Vehicle (UAV) with a multi-purpose agricultural Unmanned Ground Vehicle (UGV), the system will be able to survey a field from the air, perform targeted intervention on the ground, and provide detailed information for decision support,... A. Walter, R. Khanna, P. Lottes, C. Stachniss, R. Siegwart, J. Nieto, F. Liebisch

2. Land Cover and Crop Types Classification Using Sentinel-2A Derived Vegetation Indices and an Artificial Neural Network

Developments in remote sensing data acquisition capabilities, data processing and interpretation of ground-based, airborne and satellite observations have made it possible to couple remote sensing technologies and precision crop management systems. Land cover and crop types classification is a fundamental task in remote sensing and is crucial in various environmental and agricultural applications. Accurate and timely information on land cover and crop types is essential for land management, land-use... B. Bantchina