Using MODIS Data to Predict Regional Corn Yields-Reference-Cited by-同舟云学术

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Using MODIS Data to Predict Regional Corn Yields

Published:2016-12-28 Issue:1 Volume:9 Page:16
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Ban Ho-Young,Kim Kwang,Park No-Wook,Lee Byun-Woo^ORCID

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/9/1/16/pdf

Reference61 articles.

1. Effect and adaptation of climate change on fodder and livestock management;Kumar;Int. J. Sci. Environ. Technol.,2016

2. Uses of satellite data for famine early warning in sub-Saharan Africa

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1. ESTIMATION OF SUGARCANE YIELD USING MULTI-TEMPORAL SENTINEL 2 SATELLITE IMAGERY AND RANDOM FOREST REGRESSION;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2024-03-08

2. Can Yield Prediction Be Fully Digitilized? A Systematic Review;Agronomy;2023-09-21

3. A Geospatial Approach to Assessing the Impact of Agroecological Knowledge and Practice on Crop Health in a Smallholder Agricultural Context;The Professional Geographer;2023-02-02

4. Deep Learning-Based Virtual Optical Image Generation and Its Application to Early Crop Mapping;Applied Sciences;2023-01-30

5. Analysis of Corn Yield Prediction Potential at Various Growth Phases Using a Process-Based Model and Deep Learning;Plants;2023-01-18

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