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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Sentinel-2 Data for Precision Agriculture?—A UAV-Based Assessment
Josephine Bukowiecki, Till Rose, Henning Kage
Sensors (2021) Vol. 21, Iss. 8, pp. 2861-2861
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Smart Sensors and Smart Data for Precision Agriculture: A Review
Abdellatif Soussi, Enrico Zero, Roberto Sacile, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2647-2647
Open Access | Times Cited: 65
Crop Monitoring in Smallholder Farms Using Unmanned Aerial Vehicles to Facilitate Precision Agriculture Practices: A Scoping Review and Bibliometric Analysis
Shaeden Gokool, Maqsooda Mahomed, Richard Kunz, et al.
Sustainability (2023) Vol. 15, Iss. 4, pp. 3557-3557
Open Access | Times Cited: 49
LoRa Communications as an Enabler for Internet of Drones towards Large-Scale Livestock Monitoring in Rural Farms
Mehran Behjati, Aishah Binti Mohd Noh, Haider A. H. Alobaidy, et al.
Sensors (2021) Vol. 21, Iss. 15, pp. 5044-5044
Open Access | Times Cited: 81
Complementary Use of Ground-Based Proximal Sensing and Airborne/Spaceborne Remote Sensing Techniques in Precision Agriculture: A Systematic Review
Angelos Alexopoulos, Konstantinos Koutras, Sihem Ben Ali, et al.
Agronomy (2023) Vol. 13, Iss. 7, pp. 1942-1942
Open Access | Times Cited: 25
UAV-Based Wireless Data Collection from Underground Sensor Nodes for Precision Agriculture
Lucas Holtorf, I.P. Titov, F. Daschner, et al.
AgriEngineering (2023) Vol. 5, Iss. 1, pp. 338-354
Open Access | Times Cited: 14
Evaluation of Machine Learning Regression Techniques for Estimating Winter Wheat Biomass Using Biophysical, Biochemical, and UAV Multispectral Data
Marco Spencer Chiu, Jinfei Wang
Drones (2024) Vol. 8, Iss. 7, pp. 287-287
Open Access | Times Cited: 6
A systematic review of open data in agriculture
Jorge Chamorro-Padial, Roberto Garcı́a, Rosa Gil
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108775-108775
Open Access | Times Cited: 5
UAV-based canopy monitoring: calibration of a multispectral sensor for green area index and nitrogen uptake across several crops
Josephine Bukowiecki, Till Rose, Katja Holzhauser, et al.
Precision Agriculture (2024) Vol. 25, Iss. 3, pp. 1556-1580
Open Access | Times Cited: 4
Leveraging Unmanned Aerial Vehicle Technologies to Facilitate Precision Water Management in Smallholder Farms: A Scoping Review and Bibliometric Analysis
Ameera Yacoob, Shaeden Gokool, Alistair Clulow, et al.
Drones (2024) Vol. 8, Iss. 9, pp. 476-476
Open Access | Times Cited: 3
Remote sensing and on-farm experiments for determining in-season nitrogen rates in winter wheat – Options for implementation, model accuracy and remaining challenges
Kristin Piikki, Mats Söderström, H. Stadig
Field Crops Research (2022) Vol. 289, pp. 108742-108742
Open Access | Times Cited: 14
Sustainability insights on learning-based approaches in precision agriculture in internet-of-things
Kiran Muniswamy Panduranga, H.R. Roopashree
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 3, pp. 3495-3495
Open Access | Times Cited: 2
Monitoring winter wheat growth performance at sub-field scale using multitemporal Sentinel-2 imagery
Bing-Bing Goh, Peter King, Rebecca L. Whetton, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 115, pp. 103124-103124
Open Access | Times Cited: 8
Headland and Field Edge Performance Assessment Using Yield Maps and Sentinel-2 Images
Kaihua Liu, Ahmed Kayad, Marco Sozzi, et al.
Sustainability (2023) Vol. 15, Iss. 5, pp. 4516-4516
Open Access | Times Cited: 4
Monitoring impacts of soil bund on spatial variation of teff and finger millet yield with Sentinel-2 and spectroradiometric data in Ethiopia
Gizachew Ayalew Tiruneh, Derege Tsegaye Meshesha, Enyew Adgo, et al.
Heliyon (2023) Vol. 9, Iss. 3, pp. e14012-e14012
Open Access | Times Cited: 4
Establishing a knowledge structure for yield prediction in cereal crops using unmanned aerial vehicles
Ghulam Mustafa, Y H Liu, İmran Khan, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 1
Spectral reflection and crop parameters: can the disentanglement of primary and secondary traits lead to more robust and extensible prediction models?
Maren Rose, Till Rose, Henning Kage
Precision Agriculture (2022) Vol. 24, Iss. 2, pp. 607-626
Open Access | Times Cited: 4
Advancing Blackmore’s methodology to delineate management zones from Sentinel 2 images
Arthur Lenoir, Bertrand Vandoorne, Ali Siah, et al.
Precision Agriculture (2024) Vol. 25, Iss. 3, pp. 1360-1385
Closed Access
Estimating Alfalfa Ndf and Adf Contents Using in Situ Hyperspectral and Sentinel-2 Data
Jie Liu, Shuai Fu, Jinlong Gao, et al.
(2024)
Closed Access
Drone-Assisted Climate Smart Agriculture (DACSA): The design of the groundwork flow data for drone operations
Gunawan Setyo Prabowo, Ari Sugeng Budiyanta, Andreas Prasetya Adi, et al.
ICST Transactions on Scalable Information Systems (2024) Vol. 11
Open Access
Local Field-Scale Winter Wheat Yield Prediction Using VENµS Satellite Imagery and Machine Learning Techniques
Marco Spencer Chiu, Jinfei Wang
Remote Sensing (2024) Vol. 16, Iss. 17, pp. 3132-3132
Open Access
Assessment of the impact of accurate green area index, water regime and harvest index on site-specific wheat yield estimation
Josephine Bukowiecki, Till Rose, Henning Kage
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109429-109429
Open Access
Evaluation of Surface Reflectance and Vegetation Indices Measured by Sentinel-2 Satellite Using Drone Considering Crop Type and Surface Heterogeneity
Jae-Hyun Ryu, Hyun‐Dong Moon, Kyungdo Lee, et al.
Korean Journal of Remote Sensing (2024) Vol. 40, Iss. 5-1, pp. 657-673
Open Access
Predicting grain protein concentration in winter wheat ( Triticum aestivum L.) based on unpiloted aerial vehicle multispectral optical remote sensing
S. Wolters, Mats Söderström, Kristin Piikki, et al.
Acta Agriculturae Scandinavica Section B - Soil & Plant Science (2022) Vol. 72, Iss. 1, pp. 788-802
Open Access | Times Cited: 2
Spectral Measures from Sentinel-2 Imagery vs Ground-Based Data from Rapidscan© Sensor: Performances on Winter Wheat
Alessandro Farbo, Raffaele Meloni, Massimo Blandino, et al.
Communications in computer and information science (2022), pp. 211-221
Closed Access | Times Cited: 2
Wissenschaftliche Grundlagen zum Strategiediskurs für einen nachhaltigen Pflanzenbau
Til Feike, Michael Frei, Christoph Germeier, et al.
Die Bodenkultur Journal of Land Management Food and Environment (2022) Vol. 73, Iss. 3, pp. 153-192
Open Access | Times Cited: 1
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