The accurate detection and identification of plant diseases is an essential step in the development intelligent modernized agricultural production. This study proposes a deep learning model (PPLC-Net) incorporating dilated convolution, multi-level attention mechanism, GAP layers. uses novel weather data augmentation to expand sample size enhance generalization robustness feature extraction. extraction network extends perceptual field convolutional domain using sawtooth convolution with...

KASP marker technology has been used in molecular marker-assisted breeding because of its high efficiency and flexibility, an intelligent evaluation model primer typing results is essential to improve the development on a large scale. To this end, paper proposes gene population delineation method based NTC identification module data distribution judgment accuracy K-Means clustering, introduces decision tree construct KASP-IEva model. The firstly designs extract four types data, grouping...

In China, fruit tree diseases are a significant threat to the development of industry, and knowledge about is most needed professional for farmers other practitioners in industry. Research papers primary sources that represent cutting-edge progress disease research. Traditional engineering methods acquisition require extensive cumbersome preparatory work, they demand high level background information technology skills from handlers. This paper, perspective industry dissemination, aims at...

Detecting and eliminating sprouted potatoes is a basic measure before potato storage, which can effectively improve the quality of storage reduce economic losses due to spoilage decay. In this paper, we propose an improved YOLOV5-based detection model for detecting grading in complex scenarios. By replacing Conv with CrossConv C3 module, feature similarity loss problem fusion process improved, representation enhanced. SPP using fast spatial pyramid pooling parameters speed up fusion. The...

To solve the problems of weak generalization potato early and late blight recognition models in real complex scenarios, susceptibility to interference from crop varieties, colour characteristics, leaf spot shapes, disease cycles environmental factors, strong dependence on storage computational resources, an improved YOLO v5 model (DA-ActNN-YOLOV5) is proposed study diseases different multiple regional scenarios. Thirteen data augmentation techniques were used expand improve prevent...

Crop leaf diseases can reflect the current health status of crop, and rapid automatic detection field has become one difficulties in process industrialization agriculture. In widespread application various machine learning techniques, recognition time consumption accuracy remain main challenges moving agriculture toward industrialization. This article proposes a novel network architecture called YOLO V5-CAcT to identify crop diseases. The fast efficient lightweight V5 is chosen as base...

Intelligent and accurate evaluation of KASP primer typing effect is crucial for large-scale screening excellent markers in molecular marker-assisted breeding. However, the efficiency both manual discrimination methods existing algorithms limited cannot match development speed markers. To address above problems, we proposed a method primers by integrating deep learning traditional machine algorithms, called TAL-SRX. First, three are used to optimize performance each model Stacking framework...

The changes in storage loss, water distribution status, gel characteristics, TBARS, total volatile basic nitrogen, and plate count of cooked reduced-phosphate silver carp surimi batter during cold at 4 °C were investigated. content free water, pH, hardness, nitrogen value all batters significantly increased (P < 0.05) with increasing the time. Meanwhile, immobilized whiteness, springiness, cohesiveness decreased 0.05). At same time, sample has lower mobility, darker colour better...

The influence of sonication duration (0, 30 and 60 min) TGase addition (Transglutaminase, 0 8.69 g/kg) on the pH, emulsion stability, textural characteristics, protein conformation reduced-salt chicken meat batter was analyzed. Compared with sample without or treatment, β-sheet β-turn contents samples treated and/or were increased from 5.92, 20.4% 13.3% to 6.13, 28.6% 17.1%, respectively, led L*-value, cooking yield, hardness, springiness, adhesiveness chewiness substantially higher, which...

The changes in storage loss, water distribution status, gel characteristics, thiobarbituric acid reactive substances (TBARSs), total volatile basic nitrogen, and plate count of cooked reduced-phosphate silver carp surimi batter during cold at 4 °C were investigated. content free water, pH, hardness, TBARSs, nitrogen value, all batters significantly increased (p < 0.05) with an increase time. Meanwhile, the immobilized whiteness, springiness, cohesiveness decreased 0.05). At same time,...

In this study, the changes in emulsion stability, colour, textural properties, and protein secondary structure of reduced-fat pork batters (50% back-fat 50% pre-emulsified sesame oil) treated under different pressures (0.1, 200 400 MPa) were investigated. The cooking yield, L* value, texture initial relaxation times T2b, T21, T22, peak ratios P21 samples MPa significantly increased (p < 0.05) compared with those at 0.1 MPa, but a* b* values, ratio P22 decreased 0.05). sample exhibited best...

Accurate diagnosis of plant diseases is crucial for crop health. This study introduces the EDA–ViT model, a Vision Transformer (ViT)-based approach that integrates adaptive entropy-based data augmentation diagnosing custard apple (Annona squamosa) diseases. Traditional models like convolutional neural network and ViT face challenges with local feature extraction large dataset requirements. overcomes these by using multi-scale weighted aggregation interaction module, enhancing both global...

Increased wheat production is crucial for addressing food security concerns caused by limited resources, extreme weather, and population expansion. However, breeders have challenges due to fragmented information in multiple research articles, which slows progress generating high-yield, stress-resistant, high-quality wheat. This study presents WGIE (Wheat Germplasm Information Extraction), a article abstract-specific data extraction workflow based on conversational large language models...

Urban green space is the fundamental component of urban ecosystems, but processes and mechanisms underlying influence structure quality on human social economic activities are still unclear. Plant diversity in may have an impact socioeconomic activities, which can be characterized by spatial distribution points interest (POIs). To test this hypothesis, 16 spaces Xiamen Island were taken as research object to analyze relationships among five plant indices, three landscape seven POIs spaces....

In the numerous agricultural information technologies, knowledge system has become an important part of intelligent technology (AIIT). This paper introduces composition and working principle development tool for binary tree-based uses one simplest examples to expound operation method visualization editor process accomplishment expert apple disease diagnosis. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4492 Full Text: PDF