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GeneTech 知识引擎共收录 1611 篇相关科研实体，横跨 30 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• Precision Agriculture using Machine Learning and Deep Learning Algorithms: A Comprehensive Study
  2025 · 智慧农业 · Abstract Farming has evolved from the basic irrigation techniques used in ancient river valley civilizations to the sophisticated Precision Agriculture of today. It plays an important role in the advancement of human soc…
• High-Performance Deep Learning for Instant Pest and Disease Detection in Precision Agriculture.
  2025 · 智慧农业 · ABSTRACT Global farm productivity is constantly under attack from pests and diseases, resulting in massive crop loss and food insecurity. Manual scouting, expert estimation, and laboratory‐based microscopy are time‐consu…
• GENERATIVE AI AND MACHINE LEARNING USING PYTHON
  2026 · AI Agent 生态 · Generative AI and Machine Learning Using Python Artificial Intelligence is transforming the world, and Generative AI is leading the next wave of innovation. This comprehensive book provides a practical, hands-on approach…
• GENERATIVE AI AND MACHINE LEARNING USING PYTHON
  2026 · AI Agent 生态 · Generative AI and Machine Learning Using Python Artificial Intelligence is transforming the world, and Generative AI is leading the next wave of innovation. This comprehensive book provides a practical, hands-on approach…
• Multi-Modal Integrated CNN–Random Forest Framework for Disease Classification, Argo-Environmental Crop Recommendation, and Yield Prediction
  2026 · 智慧农业 · Artificial Intelligence (AI) is transforming agriculture by enabling intelligent systems for improved productivity and decision-making. This paper presents a multi-modal framework that integrates Convolutional Neural Net…
• Multi-Modal Integrated CNN–Random Forest Framework for Disease Classification, Argo-Environmental Crop Recommendation, and Yield Prediction
  2026 · 智慧农业 · Artificial Intelligence (AI) is transforming agriculture by enabling intelligent systems for improved productivity and decision-making. This paper presents a multi-modal framework that integrates Convolutional Neural Net…
• UAV-Based Crop Disease Detection Using Hybrid AI and IoT Integration
  2026 · 智慧农业 · Timely identification of crop diseases is essential for improving agricultural productivity and ensuring food security. This paper presents an intelligent crop disease detection framework that integrates Unmanned Aerial …
• UAV-Based Crop Disease Detection Using Hybrid AI and IoT Integration
  2026 · 智慧农业 · Timely identification of crop diseases is essential for improving agricultural productivity and ensuring food security. This paper presents an intelligent crop disease detection framework that integrates Unmanned Aerial …
• Deep Learning
  2026 · 智慧农业 · The burgeoning fields of plant science and agriculture are undergoing a profound transformation driven by the advent of deep learning. This powerful subset of artificial intelligence is enabling researchers to extract un…
• A Review of Deep Learning Models for Automated Plant Leaf Disease Diagnosis and Prevention
  2026 · 智慧农业 · Crop diseases are a major challenge in modern agriculture, often leading to reduced crop productivity, economic losses, and threats to food security. Early and accurate identification of plant diseases is essential for i…
• A Review of Deep Learning Models for Automated Plant Leaf Disease Diagnosis and Prevention
  2026 · 智慧农业 · Crop diseases are a major challenge in modern agriculture, often leading to reduced crop productivity, economic losses, and threats to food security. Early and accurate identification of plant diseases is essential for i…
• [Supplementary Material] Detecting Hurricane-Induced Fallen Pecan Trees: A Novel UAV-Based Deep Learning Approach
  2026 · 智慧农业 · Hurricane events strongly affect the pecan crop by uprooting and lodging trees. Additionally, current fallen-tree monitoring relies on manual field surveys, which are invasive, time-consuming, and costly, constraining ti…
• [Supplementary Material] Detecting Hurricane-Induced Fallen Pecan Trees: A Novel UAV-Based Deep Learning Approach
  2026 · 智慧农业 · Hurricane events strongly affect the pecan crop by uprooting and lodging trees. Additionally, current fallen-tree monitoring relies on manual field surveys, which are invasive, time-consuming, and costly, constraining ti…
• Pineapple Leaf Disease Dataset: Field-Acquired Images for Deep Learning-Based Plant Health Assessment
  2026 · 智慧农业 · This dataset contains original field-acquired images of pineapple leaves for deep learning-based disease classification and precision agriculture research. Images were collected from pineapple cultivation regions in Vazh…
• Pineapple Leaf Disease Dataset: Field-Acquired Images for Deep Learning-Based Plant Health Assessment
  2026 · 智慧农业 · This dataset contains original field-acquired images of pineapple leaves for deep learning-based disease classification and precision agriculture research. Images were collected from pineapple cultivation regions in Vazh…
• Sunflower Seed Oil Yield Prediction using Machine Learning
  2026 · 智慧农业 · Sunflower (Helianthus annuus L.) is a highly cultivated oilseed crop, appreciated for its high-quality edible oil. Manual rating of seed yield potential is time consuming and subjective in nature. This study proposes a d…
• Sunflower Seed Oil Yield Prediction using Machine Learning
  2026 · 智慧农业 · Sunflower (Helianthus annuus L.) is a highly cultivated oilseed crop, appreciated for its high-quality edible oil. Manual rating of seed yield potential is time consuming and subjective in nature. This study proposes a d…
• Development of a Deep Learning-Based Smart Irrigation System Using IoT for Automated Crop Water Optimization
  2026 · 智慧农业 · Conventional irrigation systems account for approximately 70% of global freshwater withdrawals yet routinely waste 25%–40% of applied water through static time-based scheduling that fails to account for dynamic soil and …
• Development of a Deep Learning-Based Smart Irrigation System Using IoT for Automated Crop Water Optimization
  2026 · 智慧农业 · Conventional irrigation systems account for approximately 70% of global freshwater withdrawals yet routinely waste 25%–40% of applied water through static time-based scheduling that fails to account for dynamic soil and …
• CitrusCultivar-BD: A Real-World Annotated Dataset of Lemon and Pomelo Cultivars
  2026 · 智慧农业 · CitrusCultivar-BD is a real-world annotated image dataset developed to support research in computer vision, artificial intelligence, machine learning, and precision agriculture. The dataset contains 1,820 images of eleve…
• CitrusCultivar-BD: A Real-World Annotated Dataset of Lemon and Pomelo Cultivars
  2026 · 智慧农业 · CitrusCultivar-BD is a real-world annotated image dataset developed to support research in computer vision, artificial intelligence, machine learning, and precision agriculture. The dataset contains 1,820 images of eleve…
• Leveraging nonlinear deep learning models for intelligent crop recommendation in precision agriculture
  2026 · 智慧农业 · Abstract For countries with developing economies, agriculture, particularly the farming and livestock business, plays an essential role in their economic growth. Agriculture is the basis of food security and supplies the…
• Artificial Intelligence Approaches in Plant Digital Multiple Omics
  2026 · 智慧农业 · The artificial intelligence (AI) integration in plant digital multiple omics has transformed plant research by increasing data assessment, explanation, and predictive modeling. AI-driven applications, encompassing deep l…
• RumexDrone Image Dataset
  2026 · 智慧农业 · RumexDrone is an openly available RGB image dataset for the detection of Rumex in Swiss grasslands. The data were collected in Switzerland between 2020 and 2025 with a DJI Matrice 300 RTK carrying a Zenmuse P1 camera equ…
• Apple Disease Dataset
  2026 · 智慧农业 · This dataset contains images of Manalagi apple varieties from Indonesia. The data represent both healthy and diseased fruit. All data were collected from apple orchards owned by farmers. The dataset consists of four cate…
• AI Based Plant Disease Recommendation and Solution
  2026 · 智慧农业 · A productivity and food security, creating a need for intelligent and accessible diagnostic tools. This paper presents a web- based smart agriculture system that integrates deep learning–based plant disease recognition w…
• AI Based Plant Disease Recommendation and Solution
  2026 · 智慧农业 · A productivity and food security, creating a need for intelligent and accessible diagnostic tools. This paper presents a web- based smart agriculture system that integrates deep learning–based plant disease recognition w…
• A Comprehensive Precision Agriculture Framework: Automated Plant Disease Identification and Categorization Through Cutting Edge Deep Learning Frameworks
  2026 · 智慧农业 · The outbreak of plant diseases represents one of the greatest menaces to the world agricultural productivity resulting in a global loss of crops that is estimated at 20-40 per annum. The conventional detection techniques…
• Application of AI in Precision Soil Quality Assessment for Sustainable Agriculture
  2026 · 智慧农业 · Soil quality assessment is a critical component of precision agriculture and sustainable land management, as soil physicochemical and fertility-related properties directly influence agricultural productivity and environm…
• Smart Farming with Deep Learning: Enhancing Crop Management through Advanced Image Analysis
  2026 · 智慧农业 · A type of advanced image processing and data technologies for analysis with promising outcomes is called deep learning, or DL. In addition to being used in many other industries, DL is also being used in agriculture. Bec…
• Smart Farming Using Deep Learning: Detection of Soybean Leaf Disease from UAV-Captured Images
  2026 · 智慧农业 · Early detection of soybean leaf disease is crucial to preventing yield loss and ensuring sustainable soybean crop production. Traditional farming is often inefficient and heavily dependent on manual labor, leading to low…
• AI-Driven Crop Quality Assessment using Deep Learning and Image Analysis with Integrated Smart Farming Support System
  2026 · 智慧农业 · Assessing Crop Quality plays an important role in the area of Agriculture as it impacts on the pricing and storage and acceptance in Market. Conventional quality inspection methods highly rely on human expertise, which m…
• AI-Driven Crop Quality Assessment using Deep Learning and Image Analysis with Integrated Smart Farming Support System
  2026 · 智慧农业 · Assessing Crop Quality plays an important role in the area of Agriculture as it impacts on the pricing and storage and acceptance in Market. Conventional quality inspection methods highly rely on human expertise, which m…
• RGB Image Dataset for Cabbage Maturity Classification at 100 and 135 Days After Transplanting (DAT) for Machine Learning Applications
  2026 · 智慧农业 · This dataset was developed to support research on automated crop maturity detection using computer vision and deep learning techniques. The hypothesis is that RGB image features of cabbage heads captured under field cond…
• RGB Image Dataset for Cabbage Maturity Classification at 100 and 135 Days After Transplanting (DAT) for Machine Learning Applications
  2026 · 智慧农业 · This dataset was developed to support research on automated crop maturity detection using computer vision and deep learning techniques. The hypothesis is that RGB image features of cabbage heads captured under field cond…
• RGB Image Dataset for Cabbage Maturity Classification at 100 and 135 Days After Transplanting (DAT) for Machine Learning Applications
  2026 · 智慧农业 · This dataset was developed to support research on automated crop maturity detection using computer vision and deep learning techniques. The hypothesis is that RGB image features of cabbage heads captured under field cond…
• AI based real time disease diagnosis in plants using deep learning driven CNNs
  2026 · AI 安全与对齐 · Real-time plant disease diagnosis employs new technologies to identify and detect plant diseases while they occur, thus allowing a rapid response that reduces crop loss and improves healthier agricultural practices. This…
• ISLES (Ischemic Stroke Lesion Segmentation/Prediction) Challenge Datasets (2015, 2016, 2017, 2018)
  2026 · AI 安全与对齐 · ISLES (Ischemic Stroke Lesion Segmentation/Prediction) Challenge Datasets (2015, 2016, 2017, 2018) The ISLES (Ischemic Stroke Lesion Segmentation/Prediction) Challenge is a continuous, globally recognized initiative in t…
• ISLES (Ischemic Stroke Lesion Segmentation/Prediction) Challenge Datasets (2015, 2016, 2017, 2018)
  2026 · AI 安全与对齐 · ISLES (Ischemic Stroke Lesion Segmentation/Prediction) Challenge Datasets (2015, 2016, 2017, 2018) The ISLES (Ischemic Stroke Lesion Segmentation/Prediction) Challenge is a continuous, globally recognized initiative in t…
• Capturing Short- and Long-Term Temporal Dependencies Using Bahdanau-Enhanced Fused Attention Model for Financial Data—An Explainable AI Approach
  2026 · AI 安全与对齐 · Prediction of stock closing price plays a critical role in financial planning, risk management, and informed investment decision-making. In this study, we propose a novel model that synergistically amalgamates Bidirectio…
• Advanced Fault Detection and Diagnosis Exploiting Machine Learning and Artificial Intelligence for Engineering Applications
  2026 · AI 安全与对齐 · Modern engineering systems require reliable and timely Fault Detection and Diagnosis (FDD) to ensure operational safety and resilience. Traditional model-based and rule-based approaches, although interpretable, exhibit l…
• INTELKAMAT - Cervical Colposcopy Image Dataset
  2026 · AI 驱动科学发现 · Overview INTELKAMAT is an anonymised cervical colposcopy image dataset comprising 934 RGB JPEG images at 1280×960 pixels from 30 women examined at the Medical University Hospital of Pleven, Bulgaria (2022-2024). Each pat…
• INTELKAMAT - Cervical Colposcopy Image Dataset
  2026 · AI 驱动科学发现 · Overview INTELKAMAT is an anonymised cervical colposcopy image dataset comprising 934 RGB JPEG images at 1280×960 pixels from 30 women examined at the Medical University Hospital of Pleven, Bulgaria (2022-2024). Each pat…
• AI-TB-ZN: An Annotated Ziehl–Neelsen-Stained Sputum Smear Image Dataset for Artificial Intelligence-Based Tuberculosis Detection in Southwestern Uganda
  2026 · AI 驱动科学发现 · AI-TB-ZN: An Annotated Ziehl–Neelsen-Stained Sputum Smear Image Dataset for Artificial Intelligence-Based Tuberculosis Detection in Southwestern Uganda The AI-TB-ZN dataset is a publicly available collection of 512 anony…
• AI-TB-ZN: An Annotated Ziehl–Neelsen-Stained Sputum Smear Image Dataset for Artificial Intelligence-Based Tuberculosis Detection in Southwestern Uganda
  2026 · AI 驱动科学发现 · AI-TB-ZN: An Annotated Ziehl–Neelsen-Stained Sputum Smear Image Dataset for Artificial Intelligence-Based Tuberculosis Detection in Southwestern Uganda The AI-TB-ZN dataset is a publicly available collection of 512 anony…
• AI-based Image Recognition for Sperm Morphology and Motility
  2026 · AI 驱动科学发现 · Assisted reproductive technologies play a major role in animal reproduction and conservation. Accuracy in semen analysis is an indispensable component for the success of Assisted Reproductive Technologies, as male infert…
• Brightfield Microscopy Image Dataset for Candida Species
  2026 · AI 驱动科学发现 · OVERVIEW Invasive fungal infections present a critical nosocomial challenge, with global mortality burdens exceeding 1.5 million cases annually. This repository provides the high-fidelity microscopic dataset introduced i…
• Brightfield Microscopy Image Dataset for Candida Species
  2026 · AI 驱动科学发现 · OVERVIEW Invasive fungal infections present a critical nosocomial challenge, with global mortality burdens exceeding 1.5 million cases annually. This repository provides the high-fidelity microscopic dataset introduced i…
• Explainable AI in Medical Imaging: A Review of Black-Box Deep Learning Models
  2026 · AI 驱动科学发现 · The increasing volume of medical image data has generated a significant requirement for automated and interpretable medical image diagnosis tools. In this research, a medical image detection system based on deep learning…
• ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL BIOLOGY IN HEALTHCARE: GENOMICS, PUBLIC HEALTH AND MICROBIOME
  2026 · 生物计算 · This book brings together pioneering research at the intersection of technology, health, and microbiology, showcasing how computational innovation and biological insight are reshaping our understanding of life and diseas…
• A new tool to improve the computation of animal kinetic activity indices in precision poultry farming
  2025 · 智慧农业 · Precision Livestock Farming (PLF) emerges as a promising solution for revolutionising farming by enabling real-time automated monitoring of animals through smart technologies. PLF provides farmers with precise data to en…
• Precision monitoring of rice nitrogen fertilizer levels based on machine learning and UAV multispectral imagery
  2025 · 智慧农业 · Rice is the primary food crop globally, and effective nitrogen fertilizer management is essential for optimizing yield while minimizing environmental impact. This study integrated unmanned aerial vehicle (UAV) imagery wi…
• Collaboration between aerial and ground robots for weed detection and removal
  2025 · 智慧农业 · This paper presents an approach towards the collaboration between aerial and ground robots or autonomous unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) for weed detection and removal. A UAV equipped …
• Artificial Neural Networks for Image Processing in Precision Agriculture: A Systematic Literature Review on Mango, Apple, Lemon, and Coffee Crops
  2025 · 智慧农业 · Precision agriculture is an approach that uses information technologies to improve and optimize agricultural production. It is based on the collection and analysis of agricultural data to support decision making in agric…
• Computer Vision for Site-Specific Weed Management in Precision Agriculture: A Review
  2025 · 智慧农业 · Weed management is always a challenge in crop production, exacerbated by the issue of herbicide resistance. Excessive herbicide application not only leads to the development of herbicide resistance weeds but also causes …
• Computational Efficiency in Precision Agriculture: MobileNetV2 Outperforms State-of-the-Art CNNs for Real-Time Plant Disease Detection
  2025 · 智慧农业 · This research addresses critical challenges in global agriculture–particularly climate change, soil degradation, and water scarcity–by advancing smart farming technologies. Automated systems powered by computer vision (C…
• Crop classification using deep learning and satellite data for precision agriculture
  2025 · 智慧农业 · Crop classification plays a vital role in precision agriculture by enabling efficient resource management and improving yield prediction. The advancement of remote sensing technologies has made it possible to obtain high…
• Towards precision agriculture: A review of image segmentation techniques and their future prospects
  2025 · 智慧农业 · Image segmentation technique is frequently employed in areas such as precision agriculture, facial recognition, and medical image processing. Techniques for segmenting data include CNN-based segmentation based on semi su…
• Smart Farming: Improving Disease Detection in Pepper Leaves Using AI and Image Processing
  2025 · 智慧农业 · Smart farming leverages advanced technologies to enhance crop monitoring, disease detection, and precision agriculture, ensuring higher productivity and sustainability. Early identification of plant diseases is crucial f…
• Prediction of Daily Cow's Milk Yield Using IGHOA-Based Convolutional Neural Network in Smart Farming System
  2025 · 智慧农业 · Modern livestock farmers are increasingly turning to robotic milking systems (RMS) because of the financial savings they provide and the information they provide about animal health and productivity. With the use of RMS …

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