WebJan 20, 2024 · Lu et al. proposed TasselNet to count maize tassels with LeNet , AlexNet , and VGGNet16 as the feature extraction network. After merging and normalizing the local counts, TasselNet can output maize tassel numbers. They released the Maize Tassel Counting (MTC) dataset to draw attention from practitioners working in related fields. WebDec 7, 2024 · TasselNetV2 extends TasselNet ( Lu et al., 2024c )—the simplest implementation of local count regression, i.e., learning a mapping from local image …
TasselNet: counting maize tassels in the wild via …
WebThis repository describes the Maize Tassels Counting (MTC) dataset presented in our work: TasselNet: counting maize tassels in the wild via local counts regression network Hao … WebNov 1, 2024 · To alleviate the in-field challenges, a deep convolutional neural network-based approach termed TasselNet is proposed. TasselNet can achieve good adaptability to in … hobbitshof
Remote Sensing Special Issue : Quantitative Remote Sensing …
Given 16 independent time series image sequences, images captured from the tasselling stage to the flowering stage are considered in our MTC dataset. In particular, according to the variability each sequence presents, 8–45 images are manually chosen from each sequence. If extrinsic conditions, … See more 16 independent time-series image sequences are collected from four different experimental fields across China between 2010 and 2015. Four experimental fields … See more In this section we describe our proposed local counts regression network and show how to use it to address effectively the in-field counting problem of maize … See more WebApr 14, 2024 · Lu et al. (2024) proposed TasselNet, a regression network that directly computes maize tassels. By modeling the local visual characteristics of field images and regressing the local counts of maize tassels, TasselNet can achieve good adaptability to in-field variations. However, this approach may not be as robust as object detectors in later ... WebJun 30, 2024 · Then, we compared our trained model with TasselNet without training their datasets. The average difference of tassel number was 1.4 between the calculations with 40 images for the two methods. In the future, we could further improve the performance of the models by enlarging datasets and calculating other tassel traits such as the length, width ... hobbies winters ca