An Overview of Machine Learning Applications on Plant Phenotyping, with a Focus on Sunflower
Luana Centorame,
Thomas Gasperini,
Alessio Ilari
et al.
Abstract:Machine learning is a widespread technology that plays a crucial role in digitalisation and aims to explore rules and patterns in large datasets to autonomously solve non-linear problems, taking advantage of multiple source data. Due to its versatility, machine learning can be applied to agriculture. Better crop management, plant health assessment, and early disease detection are some of the main challenges facing the agricultural sector. Plant phenotyping can play a key role in addressing these challenges, es… Show more
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