Multispectral semantic segmentation for land cover classification: An overview

L Ramos, AD Sappa - IEEE Journal of Selected Topics in …, 2024 - ieeexplore.ieee.org
Land cover classification (LCC) is a process used to categorize the earth's surface into
distinct land types. This classification is vital for environmental conservation, urban planning …

[HTML][HTML] Assessing the sensitive spectral bands for soybean water status monitoring and soil moisture prediction using leaf-based hyperspectral reflectance

LGT Crusiol, MR Nanni, RH Furlanetto… - Agricultural Water …, 2023 - Elsevier
The stability of soybean yields in Brazil is regularly affected by drought periods, and soil
management practices are crucial to expanding the water holding capacity of the soil and …

EPSA-YOLO-V5s: A novel method for detecting the survival rate of rapeseed in a plant factory based on multiple guarantee mechanisms

P Zhang, D Li - Computers and Electronics in Agriculture, 2022 - Elsevier
As one of the important products of modern agricultural development, plant factories can
provide a suitable environment for the growth and development of crops. Intelligently …

A water stress factor based on normalized difference water index substantially improved the accuracy of light use efficiency model for arid and semi-arid grasslands

L Ding, Z Li, K Xu, M Huang, B Shen, L Hou… - Journal of …, 2024 - Elsevier
High-accuracy simulation of gross primary productivity (GPP) is crucial for the monitoring
and evaluation of the ecosystem services and the adaptive management of grassland. The …

In-season monitoring of maize leaf water content using ground-based and UAV-based hyperspectral data

LGT Crusiol, L Sun, Z Sun, R Chen, Y Wu, J Ma… - Sustainability, 2022 - mdpi.com
China is one the largest maize (Zea mays L.) producer worldwide. Considering water deficit
as one of the most important limiting factors for crop yield stability, remote sensing …

Non− invasive assessment, classification, and prediction of biophysical parameters using reflectance hyperspectroscopy

R Falcioni, GLAA Santos, LGT Crusiol, WC Antunes… - Plants, 2023 - mdpi.com
Hyperspectral technology offers significant potential for non-invasive monitoring and
prediction of morphological parameters in plants. In this study, UV− VIS− NIR− SWIR …

Water stress alters morphophysiological, grain quality and vegetation indices of soybean cultivars

CJ Tavares, WQ Ribeiro Junior, MLG Ramos… - Plants, 2022 - mdpi.com
Rainfall is among the climatic factors that most affect production, as in the Brazilian Cerrado.
Non-destructive and automated phenotyping methods are fast and efficient for genotype …

Water use and crop coefficients of soybean cultivars of diverse maturity groups and assessment of related water management strategies

MT Petry, TF Magalhães, P Paredes, JD Martins… - Irrigation Science, 2023 - Springer
The FAO-56 two-step approach (Kc-ETo) is commonly used to estimate crop
evapotranspiration (ETc) for various crops and climate conditions. This approach consists of …

Machine Learning in the Classification of Soybean Genotypes for Primary Macronutrients' Content Using UAV–Multispectral Sensor

DC Santana, MCM Teixeira Filho, MR da Silva… - Remote Sensing, 2023 - mdpi.com
Using spectral data to quantify nitrogen (N), phosphorus (P), and potassium (K) contents in
soybean plants can help breeding programs develop fertilizer-efficient genotypes …

[HTML][HTML] Remote sensing of canopy water status of the irrigated winter wheat fields and the paired anomaly analyses on the spectral vegetation indices and grain …

S Solgi, SH Ahmadi, SJ Seidel - Agricultural Water Management, 2023 - Elsevier
Agriculture is the world's largest consumer of freshwater resources, particularly in semi-arid
regions where crop production is reliant on both irrigation and rainfall. Therefore, proper …