Drone-based apple detection: Finding the depth of apples using YOLOv7 architecture with multi-head attention mechanism

Author:

S Praveen Kumar,K Naveen Kumar

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Agricultural and Biological Sciences,Computer Science (miscellaneous)

Reference39 articles.

1. A real-time apple targets detection method for picking robot based on improved YOLOv5;Yan;Remote Sens.,2021

2. A review on the use of drones for precision agriculture" Pasquale Daponte1, Luca De Vito1, Luigi Glielmo1, Luigi Iannelli1, Davide Liuzza1, Francesco Picariello1 and Giuseppe Silano1,2018

3. Digital transformation of agriculture through the use of an interoperable platform;Antonio López-Morales;Sensors,2020

4. Apple harvesting robot under information technology: a review;Jia;Int. J. Adv. Robot. Syst.,2020

5. Detection and localization of overlapped fruits application in an apple harvesting robot;Jiao;Electronics,2020

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