A Simple Method to Estimate Weed Control Threshold by Using RGB Images from Drones
Source abstract
Abstract
The estimation of the infestation level in a field and the consequent determination of the economic threshold is a basic requisite to rationalize post-emergence weeding. In this study, a simple and inexpensive procedure to determine the economic threshold based on weed cover is proposed. By using high-resolution RGB images captured by a low-cost drone, a free downloadable app for image processing and common spreadsheet software to perform the model parametrization, two different methods have been tested. The first method was based on the joint estimation of the two parameters involved in weed cover calculation, whereas the second method required the availability of further images for the separate estimation of the first parameter. The reliability of the two methods has been evaluated through the comparison with observed data and the goodness of fit in parameter calibration has been verified by calculating appropriate quality indices. The results showed an acceptable estimation of the weed cover value for the second method with respect to observed data (0.24 vs. 0.17 m2 and 0.17 vs. 0.14 m2, by processing images captured at 10 and 20 m, respectively), whereas the estimations obtained with the first method were disappointing (0.35 vs. 0.17 m2 and 0.33 vs. 0.14 m2, by processing images captured at 10 and 20 m, respectively).
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Biological Control of Invasive Species · Ecology and Vegetation Dynamics Studies · Weed Control and Herbicide Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Centro di Ricerche Agro-Ambientali (CiRAA) “Enrico Avanzi”, Università di Pisa, IT, 56126 Pisa, Italy
Dipartimento di Scienze Agrarie, Alimentari e Agro-Ambientali (DiSAAA), Università di Pisa, IT, 56124 Pisa, Italy
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