Assisting the Planning of Harvesting Plans for Large Strawberry Fields through Image-Processing Method Based on Deep Learning

Autor: Chenglin Wang, Qiyu Han, Chunjiang Li, Jianian Li, Dandan Kong, Faan Wang, Xiangjun Zou

Publikováno v: Agriculture, Vol 14, Iss 4, p 560 (2024)

Reasonably formulating the strawberry harvesting sequence can improve the quality of harvested strawberries and reduce strawberry decay. Growth information based on drone image processing can assist the strawberry harvesting, however, it is still a c

Externí odkaz: https://doaj.org/article/c83023ed9faf4670addfc5cad85d4df4

A Study of Damage Survey Methodology for Rainwater Harvesting Surfaces Using Drones during Disasters

Publikováno v: 福井工業大学研究紀要. 51:161-166

Akashima Island, located in Goto City, Nagasaki Prefecture, is a small island with no running water and 16 inhabitants surviving on rainwater. This island has been the focus of our work since 2017. Notably, typhoons No. 9 and No. 10 passed consecutiv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::bd14e749b8998cd357182cac702af4d2
http://id.nii.ac.jp/1794/00002408/

Pre-harvest assessment of perennial weeds in cereals based on images from unmanned aerial systems (UAS)

Autor: Egilsson, Jon, Pedersen, Kim Steenstrup, Olsen, Søren Ingvor, Nielsen, Jon, Ntakos, George, Rasmussen, Jesper

Publikováno v: Egilsson, J, Pedersen, K S, Olsen, S I, Nielsen, J, Ntakos, G & Rasmussen, J 2015, ' Pre-harvest assessment of perennial weeds in cereals based on images from unmanned aerial systems (UAS) ' .

Unmanned aerial systems (UAS) are able to deliver images of agricultural fields of high spatial and temporal resolution. It is, however, not trivial to extract quantitative information about weed infestations from images. This study contributes to we

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2751::9d177008dce3e1f1cf05f4a6d991650a
https://curis.ku.dk/portal/da/publications/preharvest-assessment-of-perennial-weeds-in-cereals-based-on-images-from-unmanned-aerial-systems-uas(1b975659-effc-4611-9a44-877e17234c34).html