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3D Computer Vision for Real Time Sprayer Adjustments

Authors: Berger, Lars, T.; Alarcón, Jónathan; Perales, Paula; Ukhandeeva, Ekaterina;

3D Computer Vision for Real Time Sprayer Adjustments

Abstract

Plant protection product (PPP) savings of up to 25% in specialty crops have been demonstrated by well-adjusted spraying technology like the Smartomizer H3O (Berger et al. 2019, Berger et al. 2022). Nevertheless, the Green Deal with its Farm-to-Fork strategy has set the objective of 50% reduction in use of hazardous pesticides by 2030. Hence, high-end smart spraying technology is dearly needed to address growers' environmental and productive challenges. Fede's AIs system (pronounced "eyes") jumps-in to fill the void. AIs is a comprehensive agronomic solution based on computer vision and Artificial Intelligence (AI) that allows to sense the canopy with 3D cameras. In the sequel, the visual inputs, with a well-balanced degree of detail and temporal resolution, provide exact information on crop dimensions, which facilitate real time sprayer adjustments to perform high precision PPP spraying and foliar fertilization.

With the contribution of the European Union's LIFE Programme, the EU's funding instrument for the environment and climate action, under grant agreement Project 101074540 — LIFE21-ENV-ES-Life-AIs. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Climate, Infrastructure and Environment Executive Agency (CINEA). Neither the European Union nor the granting authority can be held responsible for them.

Keywords

sustainable agriculture, specialty crops, PPP, high precision agriculture, spraying, artificial intelligence

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green