Abstract. Fresh market apple harvesting is a difficult task that relies entirely on manual labor. Much research has been done the development of mechanical techniques. Several selective robots have developed for studies, but there are no commercially available robotic systems. This article discusses design and novel pneumatic 3D-printed soft-robotic end-effector to facilitate separation. The was integrated into system with five degrees freedom designed simplify picking sequence reduce costs...

Interspecific genomic variation can provide a genetic basis for local adaptation and domestication. A series of studies have presented its role interspecific haplotypes introgressions in adaptive traits, but few addressed their improving agronomic character. Two allotetraploid Gossypium species, barbadense (Gb) G. hirsutum (Gh) originating from the Americas, are cultivated independently. Here, through sequencing comparison one GWAS panel 229 Gb accessions two panels 491 Gh accessions, we...

The rapid changes in the global environment have led to an unprecedented decline biodiversity, with over 28% of species facing extinction. This includes snakes, which are key ecological balance. Detecting snakes is challenging due their camouflage and elusive nature, causing data loss feature extraction difficulties monitoring. To address these challenges, we propose enhanced snake detection model, Snake-DETR, based on RT-DETR, specifically designed for complex natural environments. First,...

To address the problem that existing deep learning methods are not sufficiently accurate to detect rice pests with changeable shapes or similar appearances, a self-attention feature fusion model for pest detection (SAFFPest) was proposed. The based on VarifocalNet. First, deformable convolution module added extraction network, improve ability of shapes. Second, by obtaining balance features multiple maps, mechanism introduced refine feature, in order better restore semantic information some...

This article proposes a lightweight underwater biological target detection network based on the improvement of YOLOXs, addressing challenges complex and dynamic environments, limited memory in devices, constrained computational capabilities. Firstly, backbone network, GhostConv GhostBottleneck are introduced to replace standard convolutions Bottleneck1 structure CSPBottleneck_1, significantly reducing model’s parameter count load, facilitating construction network. Next, feature fusion...

General point clouds have been increasingly investigated for different tasks, and recently Transformer-based networks are proposed cloud analysis. However, there barely related works medical clouds, which important disease detection treatment. In this work, we propose an attention-based model specifically namely 3D Transformer (3DMedPT), to examine the complex biological structures. By augmenting contextual information summarizing local responses at query, our attention module can capture...

Peanut (Arachis hypogaea L.) is an important oilseed crop worldwide. However, soil salinization becomes one of the main limiting factors peanut production. Therefore, developing salt-tolerant varieties and understanding molecular mechanisms salt tolerance to protect yield in saline areas. In this study, we selected four with contrasting response challenges T1 T2 being S1 S2 susceptible. High-throughput RNA sequencing resulted more than 314.63 Gb clean data from 48 samples. We identified...

In recent years, jute, as an important natural fiber crop, has become more and significant in the production process of insect pests, causing serious harm to agricultural production. Especially field crop pest identification with complex backgrounds, fuzzy features, multiple small targets, lack datasets specifically for jute pests led large limitations traditional models terms generalization. At same time, research on detection is still its infancy. To solve this problem, we constructed a...

As a key technology for tobacco leaf harvesting, automatic identification of the field maturity leaves is an important issue in industry. For years, researchers have been exploring machine learning methods to perform task, with traditional supervised (SL) schemes being studied depth. However, actual use SL algorithm always costly and cumbersome, as it requires large amount labor time collect label enough samples. Therefore, cost-effective solution desired by To this end, we investigate...

Music is composed of a set regular sound waves, which are usually ordered and have large number repetitive structures. Important notes, chords, music fragments often appear repeatedly. Such repeated (referred to as motifs) the soul song. However, most generated by existing generation methods can not distinct motifs like real music. This study proposes novel multi- encoders model called Motif Transformer generate containing more motifs. The constructed using an encoder-decoder framework that...

Effective tower crane layout planning is essential for the success of construction projects. Traditional optimization algorithms, which often provide a single optimal solution, may not always reveal global optimum, leaving room doubt. This paper introduces competitor algorithm, novel multi-optimal solution approach inspired by competitive learning paradigm within classroom settings. algorithm designed to users with diverse set solutions, while avoiding falling into local optima. strategic...

<title>Abstract</title> Background With increasing global temperature, high temperature (HT) has become one of the main factors limiting soybean yield and quality. Exploring HT resistance-related functional genes their corresponding molecular mechanisms is great value. Previous physiological mechanism studies have shown that, compared with HD14 (HT sensitive), JD21 an HT-resistant variety, further analysis transcriptome proteome revealed tolerance anthers. Moreover, we found that those...

Neuron reconstruction, one of the fundamental tasks in neuroscience, rebuilds neuronal morphology from 3D light microscope imaging data. It plays a critical role analyzing structure-function relationship neurons nervous system. However, due to scarcity neuron datasets and high-quality SWC annotations, it is still challenging develop robust segmentation methods for single reconstruction. To address this limitation, we aim distill consensus knowledge massive natural image data aid model...

Recent advancements in Vision-Language (VL) research have sparked new benchmarks for complex visual reasoning, challenging models' advanced reasoning ability. Traditional Models (VLMs) perform well perception tasks while struggling with scenarios. Conversely, Large Language (LLMs) demonstrate robust text capabilities; however, they lack acuity. To bridge this gap, we propose Complex Visual Reasoning (CVR-LLM), capitalizing on VLMs' proficiency and LLMs' extensive capability. Unlike recent...

With increasing global limate warm, high temperature (HT) is one of limiting factors for soybean yield and quality. Exploring HT resistance-related functional genes their corresponding molecular mechanisms great value. In our previous report, compared with HD14 (HT sensitive), JD21 an HT-resistant variety, further analysis the transcriptome proteome has revealed tolerance mechanism anthers. We found that those (28.72%), leaves also exhibited resistance, degree leaf wilting in plants after...

Hyowon 4', a new medium maturing glutinous rice variety was developed by the breeding team of Pusan National University in 2013.This cultivar derived from cross between 'Boseokchal' and 'Donna' with good property.During F3~F8 generation, lines were selected pedigree method.As result, promising line (JS23-4-39-14-5-1-1-1) property advanced designated as name 'SP 106' 2012.This headed on Aug. 15, which is 2 days later than 'Dongjinchal' middle plane.The culm length panicle this 82.4 cm 21.1...

A fundamental issue for statistical classification models in a streaming environment is that the joint distribution between predictor and response variables changes over time (a phenomenon also known as concept drifts), such their performance deteriorates dramatically. In this paper, we first present hierarchical hypothesis testing (HHT) framework can detect adapt to various drift types (e.g., recurrent or irregular, gradual abrupt), even presence of imbalanced data labels. novel detector,...

Rice is one of the most important crops in world and food crop areas. It very susceptible to pests during growing process, which affects yield quality rice. Accurately assessing types rice basis for pest eradication. A method detecting based on improved Varifocal Net proposed. self-attention mechanism introduced improve refine feature maps a group normalization added. The experimental results show that can achieve accurate detection 9 such as leaf roller borer, with mean average precision...

The rapid development of 3D video inspired the demand for audio technology and products, but products on market currently are difficult to produce a real effect synchronized with videos. This article derive generating principles formulas movable virtual sound source b ase VBAP Clustering in field, design implement method generate Audio Content, produced could customize different trajectories speed field. As systems, after modify corresponding parameters according allocation model, suitable...

Cold stress effects cotton growth as well annual production. Utilizing cold-tolerant gene resources of wild species Gossypium are great significance for genetic improvements in cultivated cotton. ICE (inducer CBF expression) the key regulators cold tolerance plants, however, there is relatively a little information genes Herein, we performed comprehensive bioinformatics analyses family eight species. Phylogenetic analysis showed that 52 were clustered into four subgroups. Cis-regulatory...