Machine Learning for Apple Orchard Health: CNNSVM Model for Disease Detection
A disease identification model's performance in apple farm disease management is evaluated in this study. […]
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Tag: IEEE Xplore
Highly Stretchable, Fully Screen-Printed Resistive Strain Sensor for Apple Fruit Growth Monitoring
Fruit size at harvest is a critical quality attribute in the global apple market, directly […]
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RESALDNET ? Apple Leaf Disease Detection Using Resnet 50 – IEEE Xplore
This work aims to implement a strong classification system, which will be designed to distinguish […]
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Advanced Apple Sorting and Quality Grading Application Using Graph Neural Networks …
In the agriculture sector, assessing apples for quality is crucial for both market sales and […]
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A Comparative Study of Deep Learning Approaches for Apple Leaf Disease Classification
Apple production is declining due to diseases, particularly those affecting the leaves. These diseases spread […]
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Apple Leaf Disease Detection using Deep Learning-based Convolutional Neural Network
The apple yield has been significantly affected by four distinct types of leaf diseases: Alternaria […]
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Apple Diameter Measurement from RGB Images Using ORCNN and Calibrated Monocular Depth
Accurate apple size measurement is crucial both for yield estimation and quality assessment in modern […]
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Inventory Management in Augmented Reality Using Apple ARKit for VisionOS – IEEE Xplore
Inventory Management in Augmented Reality Using Apple ARKit for VisionOS. Abstract: This research work introduced […]
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Enhancing Apple Disease Identification in Multi-Foliage Images through Model Fusion and …
In this study, a novel technique for scab, rust, and other various apple diseases detection […]
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Evaluating the Apple Silicon M-Series SoCs for HPC Performance and Efficiency
We also measure power consumption and efficiency using Apple's powermetrics tool. Our results show that […]
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Improved Segmentation and Classification of Apple Diseases using an Optimized CNN Model
Agriculture is crucial to food security and economic stability across the globe, and apples are […]
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Deep Learning Based Apple Detection: A Comparative Analysis of CNN Architectures
This study explores the application of deep learning techniques for the identification of apple diseases, […]
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Data-Driven Solutions in Agriculture: Machine Learning for Apple Disease Classification
The agricultural sector faces significant challenges due to plant diseases, with apple orchards being particularly […]
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3D Pose and Cluster Estimation of Apple Fruitlets in a Commercial Orchard – IEEE Xplore
Aotearoa's apple industry struggles to maintain the skilled workforce required for fruitlet thinning each year. […]
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Utilizing Extreme Gradient Boosting (XGBoost) for Apple Scab Disease Detection – IEEE Xplore
Apple scab, a fungal disease with pathogen name Venturia inaequalis, is a common disease that […]
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Detection of Apple Plant Diseases using Leaf Images through Convolution Neural Networks
We utilize the PlantVillage dataset, which comprises a diverse collection of healthy and diseased apple […]
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Utilizing Extreme Gradient Boosting (XGBoost) for Apple Scab Disease Detection
… apple scab on the apples crop which is a detrimental disease globally. The work […]
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SLAP: Data Speculation Attacks via Load Address Prediction on Apple Silicon – IEEE Xplore
We demonstrate the LAP's presence on recent Apple CPUs, such as the M2, A15, and […]
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Research and Implementation of Intelligent Orchard Apple Recognition and Location …
This project is mainly to develop and implement an accurate identification and location system for […]
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Apple | part of Artificial Intelligence in Practice: How 50 Successful Companies Used AI and …
It looks into how this company uses artificial intelligence (AI) and machine learning to solve […]
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