Fusion of multivariate time series meteorological and static soil data for multistage crop yield prediction using multi-head self attention network

Author:

Kaur Arshveer,Goyal PoonamORCID,Rajhans Rohit,Agarwal Lakshya,Goyal NavneetORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference44 articles.

1. Sugarcane yields prediction at the row level using a novel cross-validation approach to multi-year multispectral images;Akbarian;Computers and Electronics in Agriculture,2022

2. Crop production-ensemble machine learning model for prediction;Balakrishnan;International Journal of Computer Science and Software Engineering,2016

3. Spiking neural networks for crop yield estimation based on spatiotemporal analysis of image time series;Bose;IEEE Transactions on Geoscience and Remote Sensing,2016

4. Potential of remote sensing data-crop model assimilation and seasonal weather forecasts for early-season crop yield forecasting over a large area;Chen;Field Crops Research,2022

5. Synergetic use of optical, microwave and thermal satellite data for non-parametric estimation of wheat grain yield;Choudhary;The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences,2019

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Time series forecasting of wheat crop productivity in Egypt using deep learning techniques;International Journal of Data Science and Analytics;2024-05-16

2. Developing a comprehensive evaluation model of variety adaptability based on machine learning method;Field Crops Research;2024-02

3. Performing Hybrid Predictions of Time Series in Head Based Aggregation Clusters;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

4. Utilizing MODIS Fire Mask for Predicting Forest Fires Using Landsat-9/8 and Meteorological Data;2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA);2023-10-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3