[HTML][HTML] YOLOrot2. 0: A novel algorithm for high-precision rice seed size measurement with real-time processing

J Zhao, Z Hou, Q Wang, S Dai, K Yong, X Wang… - Smart Agricultural …, 2024 - Elsevier
Abstract We present YOLOrot2. 0, an automated algorithm for measuring the dimensions of
rice seeds, which holds significant importance in evaluating grain quality and genetic …

[HTML][HTML] Non-Destructive Measurement of Rice Spikelet Size Based on Panicle Structure Using Deep Learning Method

R Deng, W Liu, H Liu, Q Liu, J Zhang, M Hou - Agronomy, 2024 - mdpi.com
Rice spikelet size, spikelet length and spikelet width, are very important traits directly related
to a rice crop's yield. The accurate measurement of these parameters is quite significant in …

Assessing Grain Size Variation Across Rice Panicles Using YOLOv8 and DeepLabv3 Models

VH Nguyen, HHN Bui, TP Le - … Conference on Intelligent Systems and Data …, 2024 - Springer
Abstract The Mekong Delta is Vietnam's most crucial rice production region. Rice grain
shape quality plays a pivotal role in establishing commercial standards. Grain morphology …

[PDF][PDF] Non-destructive measurement of rice grain size based on panicle structure using deep learning method

R Deng, L Qi, J Zhang, N Yin, M Hou, X Xu - 2024 - assets-eu.researchsquare.com
Rice grain size, grain length and grain width, are very important traits directly related to rice
yield. The accurate measurement of these parameters is quite signi cant in research such as …