标题
Smart farming using artificial intelligence: A review
作者
关键词
-
出版物
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Volume 120, Issue -, Pages 105899
出版商
Elsevier BV
发表日期
2023-01-30
DOI
10.1016/j.engappai.2023.105899
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Applicability of Internet of Things in Smart Farming
- (2022) Khongdet Phasinam et al. JOURNAL OF FOOD QUALITY
- Discrete tree seed algorithm for urban land readjustment
- (2022) Ismail Koc et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Data Management and Integration of Low Power Consumption Embedded Devices IoT for Transforming Smart Agriculture into Actionable Knowledge
- (2022) El Mehdi Ouafiq et al. Agriculture-Basel
- Risk prediction model for food safety based on improved random forest integrating virtual sample
- (2022) Zhiqiang Geng et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Application of stacking ensemble learning model in quantitative analysis of biomaterial activity
- (2022) Hao Cao et al. MICROCHEMICAL JOURNAL
- Review of swarm intelligence-based feature selection methods
- (2021) Mehrdad Rostami et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A review on extreme learning machine
- (2021) Jian Wang et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Mutual Information Feature Selection (MIFS) Based Crop Yield Prediction on Corn and Soybean Crops Using Multilayer Stacked Ensemble Regression (MSER)
- (2021) S. Iniyan et al. WIRELESS PERSONAL COMMUNICATIONS
- Socio-economic factor analysis for sustainable and smart precision agriculture: An ensemble learning approach
- (2021) Pandit Byomakesha Dash et al. COMPUTER COMMUNICATIONS
- Growth Stages Classification of Potato Crop Based on Analysis of Spectral Response and Variables Optimization
- (2020) Ning Liu et al. SENSORS
- Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning
- (2020) Luwei Feng et al. Remote Sensing
- Crop Yield Prediction through Proximal Sensing and Machine Learning Algorithms
- (2020) Farhat Abbas et al. Agronomy-Basel
- Autumn Crop Yield Prediction using Data-Driven Approaches:- Support Vector Machines, Random Forest, and Deep Neural Network Methods
- (2020) Chaoya Dang et al. CANADIAN JOURNAL OF REMOTE SENSING
- Crop yield prediction using machine learning: A systematic literature review
- (2020) Thomas van Klompenburg et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Mapping Cynodon Dactylon Infesting Cover Crops with an Automatic Decision Tree-OBIA Procedure and UAV Imagery for Precision Viticulture
- (2019) Ana I. de Castro et al. Remote Sensing
- Application of ARIMA and SVM mixed model in agricultural management under the background of intellectual agriculture
- (2018) Qing Wen et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- C5.0: Advanced Decision Tree (ADT) classification model for agricultural data analysis on cloud
- (2018) S. Rajeswari et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Dimension Reduction With Extreme Learning Machine
- (2016) Liyanaarachchi Lekamalage Chamara Kasun et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Parameter tuning in the support vector machine and random forest and their performances in cross- and same-year crop classification using TerraSAR-X
- (2014) Rei Sonobe et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Predictive ability of machine learning methods for massive crop yield prediction
- (2014) Alberto Gonzalez-Sanchez et al. SPANISH JOURNAL OF AGRICULTURAL RESEARCH
- Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines
- (2013) F. Löw et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Understanding the associations between on-farm biosecurity practice and equine influenza infection during the 2007 outbreak in Australia
- (2013) Simon M. Firestone et al. PREVENTIVE VETERINARY MEDICINE
- Yield prediction in apples using Fuzzy Cognitive Map learning approach
- (2012) E.I. Papageorgiou et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Fuzzy decision support methodology for sustainable energy crop selection
- (2012) Ligita Balezentiene et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Object-based crop identification using multiple vegetation indices, textural features and crop phenology
- (2011) José M. Peña-Barragán et al. REMOTE SENSING OF ENVIRONMENT
- Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop
- (2009) Gláucia M. Bressan et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
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