Meta-Analysis Assessing Potential of Drone Remote Sensing in Estimating Plant Traits Related to Nitrogen Use Efficiency

J Zhang, Y Hu, F Li, KG Fue, K Yu - Remote Sensing, 2024 - mdpi.com
Unmanned Aerial Systems (UASs) are increasingly vital in precision agriculture, offering
detailed, real-time insights into plant health across multiple spectral domains. However, this …

Hyperspectral data and vegetative indices for paddy: A case study in Kerala, India

G Gopinath, U Surendran, J Vishak… - Remote Sensing …, 2024 - Elsevier
This paper reports the result of first attempt to study the variation in spectral signature of rice
grown at different altitude and nutrient management practices using spectroradiometer in …

Predicting dry pea maturity using machine learning and advanced sensor fusion with unmanned aerial systems (UASs)

A Bazrafkan, H Navasca, JH Kim, M Morales… - Remote Sensing, 2023 - mdpi.com
Maturity is an important trait in dry pea breeding programs, but the conventional process
predominately used to measure this trait can be time-consuming, labor-intensive, and prone …

Estimation of anthocyanins in leaves of trees with apple mosaic disease based on hyperspectral data

Z Zhang, D Jiang, Q Chang, Z Zheng, X Fu, K Li, H Mo - Remote Sensing, 2023 - mdpi.com
Anthocyanins are severity indicators for apple mosaic disease and can be used to monitor
tree health. However, most of the current studies have focused on healthy leaves, and few …

Temporal changes of leaf spectral properties and rapid chlorophyll—a fluorescence under natural cold stress in rice seedlings

Á Székely, T Szalóki, M Jancsó, J Pauk, C Lantos - Plants, 2023 - mdpi.com
Nowadays, hyperspectral remote sensing data are widely used in nutrient management,
crop yield forecasting and stress monitoring. These data can be acquired with satellites …

Research on the evolutionary of spectral features of the initial damaged parts of'Red Delicious' apples

T Xu, X Xu, X Huang, Y Wang, X Rao - Postharvest Biology and Technology, 2024 - Elsevier
It is crucial for early detection of mechanical damage to improve the quality of commodity
fruit. For the problem of low identification accuracy of damage detection models due to the …

Mapping Small-Scale Willow Crops and Their Health Status Using Sentinel-2 Images in Complex Agricultural Areas

H Beygi Heidarlou, O Oprea-Sorescu, MV Marcu… - Remote Sensing, 2024 - mdpi.com
The goal of this study was to estimate the areas under willow cultivation by farmers, as well
as their growth and health status. Due to the extremely small patch size of land cover types …

[HTML][HTML] Detection of combined frost and drought stress in wheat using hyperspectral and chlorophyll fluorescence imaging

I Ejaz, W Li, MA Naseer, Y Li, W Qin, M Farooq… - … Technology & Innovation, 2023 - Elsevier
Immediate detection and prediction tools for interactive stresses are essential to avoid yield
losses. This study investigated the capability of hyperspectral (HSI) and chlorophyll …

Investigating foliar macro-and micronutrient variation with chlorophyll fluorescence and reflectance measurements at the leaf and canopy scales in potato

J Oivukkamäki, J Atherton, S Xu, A Riikonen, C Zhang… - Remote Sensing, 2023 - mdpi.com
Vegetation indices (VIs) related to plant greenness have been studied extensively for the
remote detection of foliar nitrogen content. Yet, the potential of chlorophyll fluorescence …

[HTML][HTML] Crop simulation models as decision tools to enhance agricultural system productivity and sustainability–a critical review

K Banerjee, S Dutta, S Das… - Technology in …, 2025 - maxapress.com
Feeding the growing global population necessitates increased agricultural production, yet
agriculture remains a vulnerable sector facing significant challenges from limited land …