Hyperspectral indices data fusion-based machine learning enhanced by MRMR algorithm for estimating maize chlorophyll content
Accurate estimation of chlorophyll is essential for monitoring maize health and growth, for
which hyperspectral imaging provides rich data. In this context, this paper presents an …
which hyperspectral imaging provides rich data. In this context, this paper presents an …
A brief history of remote sensing of soybean
The last 20 years have been a period of significant advancement in the tools available for
remote sensing of soybean [Glycine max (L.) Merr.] in terms of price, ease of use, quality of …
remote sensing of soybean [Glycine max (L.) Merr.] in terms of price, ease of use, quality of …
[HTML][HTML] Defoliation Categorization in Soybean with Machine Learning Algorithms and UAV Multispectral Data
MAJ Ferraz, AGSG Santiago, AT Bruzi, NJD Vilela… - Agriculture, 2024 - mdpi.com
Traditional disease severity monitoring is subjective and inefficient. This study employs a
Parrot multispectral sensor mounted on an unmanned aerial vehicle (UAV) to apply machine …
Parrot multispectral sensor mounted on an unmanned aerial vehicle (UAV) to apply machine …
Machine learning in the classification of asian rust severity in soybean using hyperspectral sensor
Traditional monitoring of asian soybean rust severity is a time-and labor-intensive task, as it
requires visual assessments by skilled professionals in the field. Thus, the use of remote …
requires visual assessments by skilled professionals in the field. Thus, the use of remote …
Impact of fungicide application timing based on soybean rust prediction model on application technology and disease control
The application of remote sensing techniques and prediction models for soybean rust (SBR)
monitoring may result in different fungicide application timings, control efficacy, and spraying …
monitoring may result in different fungicide application timings, control efficacy, and spraying …
Technologies Applied in the Field of Early Detection of Coffee Rust Fungus Diseases: A Review
APR Jorge Luis Aroca Trujillo - Nongye Jixie Xuebao/Transactions of the …, 2023 - nyjxxb.net
This document systematically reviews the technological methods and computer algorithms
used to identify coffee leaf rust. This review is based on the PRISMA methodology used over …
used to identify coffee leaf rust. This review is based on the PRISMA methodology used over …
Technologies Applied in the Field of Early Detection of Coffee Rust Fungus Diseases: A Review
JL AROCA TRUJILLO, A PÉREZ RUIZ - 2023 - dspace-escuelaing.metacatalogo …
This document systematically reviews the technological methods and computer algorithms
used to identify coffee leaf rust. This review is based on the PRISMA methodology used over …
used to identify coffee leaf rust. This review is based on the PRISMA methodology used over …