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De Neve, S
Shi, W
Heijting, S
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Authors
Heijting, S
Kempenaar, C
Lu, J
Miao, Y
Huang, Y
Shi, W
Ruma, F.Y
Munnaf, M.A
De Neve, S
Mouazen, A.M
Topics
Precision Crop Protection
Unmanned Aerial Systems
Site-Specific Nutrient, Lime and Seed Management
Type
Oral
Year
2014
2016
2022
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Filter results3 paper(s) found.

1. Perspectives For Site Specific Application Of Soil Herbicides In Arable Farming

Soil herbicides kill plants via root uptake. The use of soil herbicides can be made more sustainable by adjusting the dosage to the local soil condition. This so called Variable Rate Application (VRA) is the core of Precision Farming. Soil herbicides often play an important role in weed control strategies in conventional arable farming. Broad field uniform application is by far the most common application method. However, with increasing advances in sensing and spray... S. Heijting, C. Kempenaar

2. In-season Diagnosis of Rice Nitrogen Status Using Crop Circle Active Canopy Sensor and UAV Remote Sensing

Active crop canopy sensors have been used to non-destructively estimate nitrogen (N) nutrition index (NNI) for in-season site-specific N management. However, it is time-consuming and challenging to carry the hand-held active crop sensors and walk across large paddy fields. Unmanned aerial vehicle (UAV)-based remote sensing is a promising approach to overcoming the limitations of proximal sensing. The objective of this study was to combine unmanned aerial vehicle (UAV)-based remote sensing system... J. Lu, Y. Miao, Y. Huang, W. Shi

3. Management Zone-specific N Mineralization Rate Estimation in Unamended Soil

Since nitrogen (N) mineralization from soil organic matter is governed by basic soil properties (soil organic matter content, pH, soil texture, …) that are known to exhibit strong in-field spatial variability, N mineralization is also expected to exhibit significant spatial variability at field scale. An ideal and efficient N recommendation for precision fertilization should therefore account for potential soil mineralizable N considering this spatial variability. Therefore, this study... F.Y. Ruma, M.A. Munnaf, S. De neve, A.M. Mouazen