Physiological maturity date is a critical parameter for the selection of breeding lines in soybean programs. The conventional method to estimate dates uses visual ratings based on pod senescence by experts, which subjective human estimation, labor-intensive and time-consuming. Unmanned aerial vehicle (UAV)-based phenotyping systems provide high-throughput powerful tool capturing crop traits using remote sensing, image processing machine learning technologies. goal this study was investigate...

In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential is large, selection offers many advantages over traditional methods, which assume that all known in advance. Features can be generated dynamically, focusing search on promising subspaces, and overfitting controlled by dynamically adjusting threshold adding contrast forward algorithms such as stepwise regression at each step possible evaluated best one...

Soybean is sensitive to flooding stress that may result in poor seed quality and significant yield reduction. production under could be sustained by developing flood-tolerant cultivars through breeding programs. Conventionally, soybean tolerance field conditions evaluated visually rating the shoot injury/damage due stress, which labor-intensive subjective human error. Recent developments of high-throughput phenotyping technology have shown great potential measuring crop traits detecting...

In order to realize the real-time and accurate detection of potted flowers on benches, in this paper we propose a method based ZED 2 stereo camera YOLO V4-Tiny deep learning algorithm for flower location. First, an automatic model was established convolutional neural network (CNN) model, center points pixel plane were obtained according prediction box. Then, 3D point cloud information by used calculate actual position flowers. The test results showed that mean average precision (MAP) recall...

Maize (Zea mays L.) is one of the most consumed grains in world. Within context continuous climate change and reduced availability arable land, it urgent to breed new maize varieties screen for desired traits, e.g., high yield strong stress tolerance. Traditional phenotyping methods relying on manual assessment are time-consuming prone human errors. Recently, application uncrewed aerial vehicles (UAVs) has gained increasing attention plant due their efficiency data collection. Moreover,...

In Streaming Feature Selection (SFS), new features are sequentially considered for addition to a predictive model. When the space of potential is large, SFS offers many advantages over traditional feature selection methods, which assume that all known in advance. Features can be generated dynamically, focusing search on promising subspaces, and overfitting controlled by dynamically adjusting threshold adding We describe α-investing, an adaptive complexity penalty method adjusts error...

The existing acoustic emission (AE) source location methods assume that waves propagate along straight lines, and the is determined by average wave velocity. Because of heterogeneity materials, results often fail to meet accuracy requirement. For this reason, an AE method considering refraction in different media was proposed paper. According sensor coordinates, arrival time waves, velocities two kinds media, space-time relation equations point measuring were established precise coordinates...

Facing the massive data of higher education institutions, mining technology is an intelligent information processing that can effectively discover knowledge from and important people have previously ignored huge information. This article dedicated to development applied mathematics resource based on edge computing stream classification. First all, this establishes a system architecture suitable for existing through technology, which improve efficiency mining. Secondly, classification...

Potato holds significant importance as a staple food crop worldwide, particularly in addressing the needs of growing population. Accurate estimation potato Leaf Area Index (LAI) plays crucial role predicting yield and facilitating precise management practices. Leveraging capabilities UAV platforms, we harnessed their efficiency capturing multi-source, high-resolution remote sensing data. Our study focused on estimating LAI utilizing UAV-based digital red–green–blue (RGB) images, Light...

The traditional acoustic emission (AE) source location method, which is based on the model of a single-layered medium, not appropriate for accurately locating AE sources in multilayered media. To solve this problem, an innovative method refraction path (RP) proposed. In new points at each interface are first solved according to Snell's law and then substituted into equations time difference arrival (TDOA). Second, linear can be obtained by linearizing TDOA equations. Finally, optimal...

Weeds can cause significant yield losses and will continue to be a problem for agricultural production due climate change. Dicamba is widely used control weeds in monocot crops, especially genetically engineered dicamba-tolerant (DT) dicot such as soybean cotton, which has resulted severe off-target dicamba exposure substantial non-tolerant crops. There strong demand non-genetically DT soybeans through conventional breeding selection. Public programs have identified genetic resources that...