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Webber, H
Y. Inamasu, R
Yalcin, H
Wilde, P
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Authors
M. Rabello, L
R. D. Pereira, R
C. Lopes, W
Y. Inamasu, R
V. de Sousa, R
Tekin, A.B
Yalcin, H
Webber, H
Lilienthal, H
Wilde, P
Schnug, E
Topics
Engineering Technologies and Advances
Proximal Sensing in Precision Agriculture
Spatial Variability in Crop, Soil and Natural Resources
Proximal Sensing in Precision Agriculture
Type
Poster
Oral
Year
2012
2014
2016
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Filter results4 paper(s) found.

1. Implementation of a Controller Unit Based on the ISO 11783 Standard for Automatic Measurement of the Electrical Conductivity of the Soil

... L. M. rabello, R. R. d. pereira, W. C. lopes, R. Y. inamasu, R. V. de sousa

2. Development Of Online Soil Profile Sensor For Variable Depth Tillage

Introduction First introduced in the early 1990s, precision agriculture technologies, or site-specific management, were considered by many to be perhaps the most significant development in production agriculture focused on improving farm profitability. The initial focus was on fertility, and treating the variability that we all knew existed from our experiences with soil sampling. However, to a large extent this application still... A.B. Tekin, H. Yalcin

3. Understanding Complex Soil Variability: the Application of Archaeological Knowledge to Precision Agriculture Systems in the UK.

As higher resolution datasets have become more available and more accessible within commercial agriculture, there has been an increasing expectation that more data will bring more answers to questions surrounding soil, crop and yield variability. When this does not happen, trust and confidence in data can be lost, affecting the uptake and use of precision agriculture. This research presents a novel approach for understanding complex soil variability at a variety of different scales.... H. Webber

4. Proximal Hyperspectral Sensing in Plant Breeding

The use of remote sensing in plant breeding is challenging due to the large number of small parcels which at least actually cannot be measured with conventional techniques like air- or spaceborne sensors. On the one hand crop monitoring needs to be performed frequently, which demands reliable data availability. On the other hand hyperspectral remote sensing offers new methods for the detection of vegetation parameters in crop production, especially since methods for safe and efficient detection... H. Lilienthal, P. Wilde, E. Schnug