Cotton yield prediction utilizing unmanned aerial vehicles (UAV) and Bayesian neural networks

L Zhao, D Um, K Nowka, JL Landivar-Scott… - … and Electronics in …, 2024 - Elsevier
In this study, we propose to utilize the canopy features such as canopy cover (CC), canopy
height (CH), canopy volume (CV), and excess greenness index (ExG) extracted from UAVs …

A comprehensive review on wheat yield prediction Based on remote sensing

M Manafifard, J Huang - Multimedia Tools and Applications, 2024 - Springer
Wheat, one of the most widely cultivated cereals worldwide, is a nutritional source for
millions. Accurate mapping of wheat yield is crucial in the planning and decision-making for …

The study on the relationship between normalized difference vegetation index and fractional green canopy cover in five selected crops

PV Lykhovyd, RA Vozhehova… - The Scientific World …, 2022 - Wiley Online Library
Crop models are of great use and importance in modern agriculture. Most models imply
spatial vegetation indices, such as NDVI, or canopy cover characteristics, such as FGCC, to …

CanopyCAM–an edge-computing sensing unit for continuous measurement of canopy cover percentage of dry edible beans

W Liang, J Oboamah, X Qiao, Y Ge, B Harveson… - … and Electronics in …, 2023 - Elsevier
Canopy cover (CC) is an important indicator for crop development. Currently, CC can be
estimated indirectly by measuring leaf area index (LAI) using commercially available hand …

Hyperspectral imaging combined with machine learning for high‐throughput phenotyping in winter wheat

S Kaur, VG Kakani, B Carver… - The Plant Phenome …, 2024 - Wiley Online Library
Uncrewed aerial vehicles (UAVs) are a highly successful and efficient method for
phenotyping in plant breeding programs. This study explored using UAVs equipped with …

Fully Bayesian economically optimal design for a spatially varying coefficient linear stochastic plateau model over multiple years

D Poursina, BW Brorsen - Stochastic Environmental Research and Risk …, 2024 - Springer
On-farm experimentation to guide fertilizer recommendations is a potential precision
agriculture tool. There is, however, no agreement on the optimal way to conduct on-farm …

Canopeo app as image-based phenotyping tool in controlled environment utilizing Arabidopsis mutants

G Hale, N Yuan, L Mendu, G Ritchie, V Mendu - Plos one, 2024 - journals.plos.org
Canopeo app was developed as a simple, accurate, rapid, and free tool to analyze ground
cover fraction (GCF) from red-green-blue (RGB) images and videos captured in the field …

[HTML][HTML] Theoretical bases of crop production on the reclaimed lands in the conditions of climate change

P Lykhovyd - 2022 - monographs.rsglobal.pl
The work is dedicated to theoretical study of current climatic trends in Ukraine and their
influence on the agricultural sector of the country's economy together with modern …

[HTML][HTML] Canopy detection beyond the field: Colored backgrounds impact precision of Canopeo

GA Hale, RD Cox, G Ritchie - Sensing and Bio-Sensing Research, 2023 - Elsevier
The development of Canopeo as a close-range remote sensor for measuring ground cover
fraction (GCF) offered farmers and scientists an accurate, simple, low-cost tool for monitoring …

Spectral Response of Camelina (Camelina sativa (L.) Crantz) to Different Nitrogen Fertilization Regimes under Mediterranean Conditions

C Clemente, L Ercolini, A Rossi, L Foschi, N Grossi… - Agronomy, 2023 - mdpi.com
Knowledge about the spectral response of camelina under different regimes of nitrogen (N)
fertilization is very scarce. Therefore, 2-year open-field trials were carried out in the 2021 …