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。Crop classification using aerial images by analyzing an ensemble of DCNNs under multi-filter & multi-scale framework
Indrajit Kalita et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2023)
An accurate prediction of crop yield using hybrid deep capsule auto encoder with softmax regression
Rajneesh Kumar et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2023)
Machine learning for regional crop yield forecasting in Europe
Dilli Paudel et al.
FIELD CROPS RESEARCH (2022)
LWCNN: a lightweight convolutional neural network for agricultural crop protection
Sundaresan Raman et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2022)
Classification and yield prediction in smart agriculture system using IoT
Akanksha Gupta et al.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2022)
Machine learning in medicinal plants recognition: a review
Kalananthni Pushpanathan et al.
ARTIFICIAL INTELLIGENCE REVIEW (2021)
A reinforced random forest model for enhanced crop yield prediction by integrating agrarian parameters
Dhivya Elavarasan et al.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021)
Use and Adaptations of Machine Learning in Big Data-Applications in Real Cases in Agriculture
Ania Cravero et al.
ELECTRONICS (2021)
Memetic salp swarm optimization algorithm based feature selection approach for crop disease detection system
Sonal Jain et al.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021)
Estimating Soil Moisture Over Winter Wheat Fields During Growing Season Using Machine-Learning Methods
Lin Chen et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)
An integrated approach for predicting and broadcasting tea leaf disease at early stage using IoT with machine learning - A review
G. Yashodha et al.
MATERIALS TODAY-PROCEEDINGS (2021)
Big Data and Machine Learning With Hyperspectral Information in Agriculture
Kenneth Li-Minn Ang et al.
IEEE ACCESS (2021)
Machine Learning Applications for Precision Agriculture: A Comprehensive Review
Abhinav Sharma et al.
IEEE ACCESS (2021)
Review: Automated techniques for monitoring the behaviour and welfare of broilers and laying hens: towards the goal of precision livestock farming
N. Li et al.
ANIMAL (2020)
Review: Synergy between mechanistic modelling and data-driven models for modern animal production systems in the era of big data
J. L. Ellis et al.
ANIMAL (2020)
Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods
Elisa Kamir et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
Remote sensing and machine learning for crop water stress determination in various crops: a critical review
Shyamal S. Virnodkar et al.
PRECISION AGRICULTURE (2020)
Nitrogen Deficiency Prediction of Rice Crop Based on Convolutional Neural Network
Prabira Kumar Sethy et al.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2020)
A review on dairy cattle farming: Is precision livestock farming the compromise for an environmental, economic and social sustainable production
Daniela Lovarelli et al.
JOURNAL OF CLEANER PRODUCTION (2020)
Deep learning based assessment of disease severity for early blight in tomato crop
Maheswari Prabhakar et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2020)
Crop yield prediction using machine learning: A systematic literature review
Thomas van Klompenburg et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
A systematic literature review on the use of machine learning in precision livestock farming
Rodrigo Garcia et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Crop Yield Prediction Using Deep Reinforcement Learning Model for Sustainable Agrarian Applications
Dhivya Elavarasan et al.
IEEE ACCESS (2020)
Advanced Machine Learning in Point Spectroscopy, RGB- and Hyperspectral-Imaging for Automatic Discriminations of Crops and Weeds: A Review
Wen-Hao Su
SMART CITIES (2020)
A review on weed detection using ground-based machine vision and image processing techniques
Aichen Wang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Determination on environmental factors and growth factors affecting tomato yield using pattern recognition techniques
Yuha Park et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2019)
How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions
Alexander Y. Sun et al.
ENVIRONMENTAL RESEARCH LETTERS (2019)
Crop Yield Prediction Using Deep Neural Networks
Saeed Khaki et al.
FRONTIERS IN PLANT SCIENCE (2019)
Ensemble of texture and shape descriptors using support vector machine classification for face recognition
Pallavaram VenkateswarLal et al.
Journal of Ambient Intelligence and Humanized Computing (2019)
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
Anna Chlingaryan et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Machine Learning Regression Techniques for the Silage Maize Yield Prediction Using Time-Series Images of Landsat 8 OLI
Hossein Aghighi et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2018)
Automated plant species identification-Trends and future directions
Jana Waeldchen et al.
PLOS COMPUTATIONAL BIOLOGY (2018)
Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review
Diego Inacio Patricio et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties
Louis Kouadio et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)
Deep Learning for Image-Based Cassava Disease Detection
Amanda Ramcharan et al.
FRONTIERS IN PLANT SCIENCE (2017)
A review on the practice of big data analysis in agriculture
Andreas Kamilaris et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2017)
Machine Learning for High-Throughput Stress Phenotyping in Plants
Arti Singh et al.
TRENDS IN PLANT SCIENCE (2016)
Using Deep Learning for Image-Based Plant Disease Detection
Sharada P. Mohanty et al.
FRONTIERS IN PLANT SCIENCE (2016)
分享论文
