Automatic classification of plant electrophysiological responses to environmental stimuli using machine learning and interval arithmetic

Author:

Pereira Danillo Roberto,Papa João Paulo,Saraiva Gustavo Francisco Rosalin,Souza Gustavo Maia

Funder

FAPESP

CNPq

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference60 articles.

1. Phenological visual rhythms: Compact representations for fine-grained plant species identification;Almeida;Pattern Recogn. Lett.,2015

2. Long-Distance Systemic Signalling and Communication in Plants;Baluska,2016

3. Baluska, F., Mancuso, S., Volkmann, D., 2006. Springer International Publishing, Berlin.

4. A review of advanced machine learning methods for the detection of biotic stress in precision crop protection;Behmann;Precision Agric.,2015

5. Spread the news: systemic dissemination and local impact of Ca2+ signals along the phloem pathway;van Bel;J. Exp. Bot.,2014

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