Monitoring system of agricultural performance based on multisensor data and cross‐validation technique in merging temporal images

Author:

Bhavani N. P. G.1,Chillakuru Prameeladevi2,Adusumilli Ramana Lakshmi3,Alroobaea Roobaea4,Rubaiee Saeed5,S. Hanbazazah Abdulkader5,Mann Suman6ORCID

Affiliation:

1. Saveetha School of Engineering Chennai Tamil Nadu 602105 India

2. Rajalakshmi Engineering College Chennai Tamil Nadu 602105 India

3. Dep. of Computer Science and Engineering Prasad V Potluri Siddhartha Institute of Technology, Kanuru Vijayawada Andhra Pradesh 520007 India

4. Dep. of Computer Science, College of Computers and Information Technology Taif Univ. P. O. Box 11099 Taif 21944 Saudi Arabia

5. Dep. of Industrial and Systems Engineering, College of Engineering Univ. of Jeddah Jeddah Saudi Arabia

6. Maharaja Surajmal Institute of Technology New Delhi 110058 India

Publisher

Wiley

Subject

Agronomy and Crop Science

Reference24 articles.

1. Abdolghafoorian A.(2020).An integrated variational framework for mapping evapotranspiration by assimilating GOES LST and SMAP data. InL.Farhadi&A.Abedeh(Eds.) EGU General Assembly Conference Abstracts.European Geophysical Union.

2. Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales

3. Assessment of multi-temporal, multi-sensor radar and ancillary spatial data for grasslands monitoring in Ireland using machine learning approaches

4. Technology, environmental sustainability and the ethics of anthropoholism;Bassey S. A.;Social Space Journal,2020

5. Estimation of crop angle of inclination for lodged wheat using multi-sensor SAR data

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