Resumo (PT):
Abstract (EN):
Metabolomics is paramount for precision agriculture. Knowing the metabolic state of the vine and its implication for grape quality is
of outermost importance for viticulture and wine industry. The MetBots
system is a metabolomics precision agriculture platform, for automated
monitoring of vineyards, providing geo-referenced metabolic images that
are correlated and interpreted by an artificial intelligence self-learning
system for aiding precise viticultural practices. Results can further be
used to analyze the plant metabolic response by genome-scale models.
In this research, we introduce the system main components: (i) robotic
platform; (ii) autonomous navigation; (iii) sampling arm manipulation;
(iv) spectroscopy systems; and (v) non-invasive, real-time metabolic
hyper-spectral imaging monitoring of vineyards. The full potential of the
Metbots system is revealed when metabolic data and images are analyzed
by big data AI and systems biology vine plant models, establishing a new
age of molecular biology precision agriculture.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
11