Prediction modeling for yield and water-use efficiency in spinach using remote sensing via an unmanned aerial system-Reference-Cited by-同舟云学术

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Prediction modeling for yield and water-use efficiency in spinach using remote sensing via an unmanned aerial system

Published:2021-12 Issue: Volume:1 Page:100006
ISSN:2772-3755
Container-title:Smart Agricultural Technology
language:en
Short-container-title:Smart Agricultural Technology

Author:

Awika Henry O.,Solorzano Jorge,Cholula Uriel,Shi Ainong,Enciso Juan,Avila Carlos A.^ORCID

Publisher

Elsevier BV

Reference40 articles.

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2. Predictive Agriculture: Crop Modeling for the Future;MCCAULEY;CSA News,2020

3. UAV-based remote sensing for vegetation cover estimation using NDVI imagery and level sets method;GHAZAL,2015

4. Novel algorithms for remote estimation of vegetation fraction;GITELSON;Remote Sens. Environ.,2002

5. Small-Scale Unmanned Aerial Vehicles in Environmental Remote Sensing: Challenges and Opportunities;HARDIN;GIScience Remote Sens.,2011

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1. Assessing Drought Stress of Sugarcane Cultivars Using Unmanned Vehicle System (UAS)-Based Vegetation Indices and Physiological Parameters;Remote Sensing;2024-04-18

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