YOLOv5s-T: A Lightweight Small Object Detection Method for Wheat Spikelet Counting

Utilizing image data for yield estimation is a key topic in modern agriculture. This paper addresses the difficulty of counting wheat spikelets using images, to improve yield estimation in wheat fields. A wheat spikelet image dataset was constructed with images obtained by a smartphone, including wh...

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Veröffentlicht in:	Agriculture (Basel) Jg. 13; H. 4; S. 872
Hauptverfasser:	Shi, Lei, Sun, Jiayue, Dang, Yuanbo, Zhang, Shaoqi, Sun, Xiaoyun, Xi, Lei, Wang, Jian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.04.2023
Schlagworte:	Agricultural production Agriculture Algorithms Crop yield Crop yields data collection Datasets Fertility Flowering Internet of Things lightweight object detection memory Methods mobile telephones Neural networks Object recognition reproduction Root-mean-square errors spikelets Wheat wheat spikelet counting yield estimation
ISSN:	2077-0472, 2077-0472
Online-Zugang:	Volltext
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