Remote sensing hail damage on maize crops in smallholder farms using data acquired by remotely piloted aircraft system-Reference-Cited by-同舟云学术

Remote sensing hail damage on maize crops in smallholder farms using data acquired by remotely piloted aircraft system

Published:2023-12 Issue: Volume:6 Page:100325
ISSN:2772-3755
Container-title:Smart Agricultural Technology
language:en
Short-container-title:Smart Agricultural Technology

Author:

Sibanda Mbulisi^ORCID,Ndlovu Helen S,Brewer Kiara,Buthelezi Siphiwokuhle,Matongera Trylee N,Mutanga Onisimo,Odidndi John,Clulow Alistair D,Chimonyo Vimbayi G P,Mabhaudhi Tafadzwanashe

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Agricultural and Biological Sciences,Computer Science (miscellaneous)

Reference66 articles.

1. Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data;Abdel-Rahman;Int. J. Rem. Sens.,2013

2. Discriminating the papyrus vegetation (Cyperus papyrus L.) and its co-existent species using random forest and hyperspectral data resampled to HYMAP;Adam;Int. J. Rem. Sens.,2012

3. Comparison of random forest and support vector machine classifiers for regional land cover mapping using coarse resolution FY-3C images;Adugna;Rem. Sens. (Basel),2022

4. Coincident detection of crop water stress, nitrogen status and canopy density using ground based multispectral data;Barnes,2000

5. Random forest in remote sensing: a review of applications and future directions;Belgiu;ISPRS J. Photogramm. Rem. Sens.,2016

Cited by 2 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. A systematic review on the application of UAV-based thermal remote sensing for assessing and monitoring crop water status in crop farming systems;International Journal of Remote Sensing;2024-07-08

2. Evaluating the yield of surviving plants from early‐season hail damage in corn: A field survey;Agrosystems, Geosciences & Environment;2024-07-03