Field evaluation of a deep learning-based smart variable-rate sprayer for targeted application of agrochemicals

Field evaluation of a deep learning-based smart variable-rate sprayer for targeted application of agrochemicals

The field performance of a newly developed novel smart variable-rate sprayer was evaluated. The sprayer uses convolutional neural networks (CNNs) for target detection and spot-applications of agrochemicals within potato (Solanum tuberosum L.) fields attacked by lamb's quarters (Chenopodium albu...

Full description

Bibliographic Details
Main Authors: Aitazaz A. Farooque, Nazar Hussain, Arnold W. Schumann, Farhat Abbas, Hassan Afzaal, Andrew McKenzie-Gopsill, Travis Esau, Qamar Zaman, Xander Wang
Format: Article
Language:English
Published: Elsevier 2023-02-01
Series:Smart Agricultural Technology
Subjects:
Automation
Decision support system
Precision agriculture
Resource management
Technology development
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375522000387

Internet

http://www.sciencedirect.com/science/article/pii/S2772375522000387

Similar Items