Prediction of Antioxidant Activity of Cherry Fruits from UAS Multispectral Imagery Using Machine Learning

• Ngā kaituhi matua: Christos Karydas (Author), Miltiadis Iatrou (Author), Dimitrios Kouretas (Author), Anastasia Patouna (Author), George Iatrou (Author), Nikolaos Lazos (Author), Sandra Gewehr (Author), Xanthi Tseni (Author), Fotis Tekos (Author), Zois Zartaloudis (Author), Evangelos Mainos (Author), Spiros Mourelatos (Author)
• Hōputu: Pukapuka
• I whakaputaina: MDPI AG, 2020-02-01T00:00:00Z.
• Ngā marau: article
• Urunga tuihono: Connect to this object online.

In this research, a model for the estimation of antioxidant content in cherry fruits from multispectral imagery acquired from drones was developed, based on machine learning methods. For two consecutive cultivation years, the trees were sampled on different dates and then analysed for their fruits&a...