Yield and texture based management zones in a heterogeneous Old Morainic landscape

Autor: Bönecke, Eric; Schröter, Ingmar; Meyer, Swen; Kling, Charlotte; Vogel, Sebastian; Post, Sandra; Kramer, Eckard; Rühlmann, Jörg
In:

14th European Conference on Precision Agriculture, 2-6 July 2023; Abstract Books
UNLEASHING THE POTENTIAL OF PRECISION AGRICULTURE
Autor: Canavari, Maurizio; Vitali, Giuliano; Mattetti, Michele
Ort: Bologna, Italia
Verlag: ECPA2023; Avenue Media
Seite: 123 - 124
Jahr: 2023

Einordung:
Institut: Professur Geodäsie und Geoinformatik

Abstract:
While economic and environmental pressures still increase rapidly on farming, site-specific crop and soil management provides efficient and cost-effective methods by delineating sub-field productivity zones - so-called management zones (MZ). To apply inputs, common approaches determine the MZ through decreasing variability of a single site condition solely that represents either the nutrient storage potential or the nutrient withdrawal potential. However, MZs should be determined on a combination of both.
The measurement of above ground biomass is a crucial factor in determining crop yields or net primary productivity. In recent times, there has been a growing interest in utilizing vegetation indices instead of productivity maps. The NDVI (Normalized Difference Vegetation Index), which is calculated from satellite imagery [1], has gained widespread use globally due to its strong correlation with crop productivity [2,3]. Moreover, high-resolution satellite images can be obtained inexpensively, enabling the mapping of large areas with minimal investments.
In practice, farmers often use class based soil texture systems in order to determine fertilizer amounts. As was shown by [4,5], the soil clay, silt and sand content can now be determined very accurately and with a high degree of spatial accuracy using on-the-go soil sensors and digital soil mapping techniques. However, when using class-based systems with these highly accurate input data for fertilizer determination, much of the input information is lost because the classes of this system are rather coarse. To consider the clay, silt and sand content equally, this study uses, moreover, the mean particle size diameter (MPD) according to [6] and applied by [7].

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