A review of remote sensing applications in agriculture and forestry to establish big data analytics

ST Arab, MM Islam, M Shamsuzzoha, KF Alam… - … regional perspectives in …, 2022 - Springer
The advancement of remote sensing provides a new opportunity for a data analytical
platform for robust decision-making based on near real-time datasets derived from satellites …

Estimating yield-contributing physiological parameters of cotton using UAV-based imagery

A Pokhrel, S Virk, JL Snider, G Vellidis… - Frontiers in Plant …, 2023 - frontiersin.org
Lint yield in cotton is governed by light intercepted by the canopy (IPAR), radiation use
efficiency (RUE), and harvest index (HI). However, the conventional methods of measuring …

Migrating from Invasive to Noninvasive Techniques for Enhanced Leaf Chlorophyll Content Estimations Efficiency

KC Kandpal, A Kumar - Critical Reviews in Analytical Chemistry, 2023 - Taylor & Francis
Leaf chlorophyll is vital for plants because it helps them get energy through the process of
photosynthesis. The present review thus examines various leaf chlorophyll content …

Unveiling spatial and temporal heterogeneity of a tropical forest canopy using high-resolution NIRv, FCVI, and NIRvrad from UAS observations

T Merrick, S Pau, M Detto, EN Broadbent… - …, 2021 - bg.copernicus.org
Recently, remotely sensed measurements of the near-infrared reflectance (NIRv) of
vegetation, the fluorescence correction vegetation index (FCVI), and radiance (NIRvrad) of …

Canopy active fluorescence spectrum tracks ANPP changes upon irrigation treatments in soybean crop

JM Romero, A Otero, MG Lagorio, AG Berger… - Remote Sensing of …, 2021 - Elsevier
Accurate estimation of aerial net primary production (ANPP) using remotely acquired data is
one of the main challenges in both environmental monitoring and precision agriculture …

[HTML][HTML] Coupling Light Intensity and Hyperspectral Reflectance Improve Estimations of the Actual Electron Transport Rate of Mango Leaves (Mangifera indica L.)

J Jin, Q Wang, J Zhuang - Remote Sensing, 2024 - mdpi.com
Real-time and accurate assessment of the photosynthetic rate is of great importance for
monitoring the contribution of leaves to the global carbon cycle. The electron transport rate is …

Comparing Phenology of a Temperate Deciduous Forest Captured by Solar-Induced Fluorescence and Vegetation Indices

T Merrick, R Bennartz, MLSP Jorge, C Merrick… - Remote Sensing, 2023 - mdpi.com
A shifting phenology in deciduous broadleaf forests (DBFs) can indicate forest health,
resilience, and changes in the face of a rapidly changing climate. The availability of satellite …

Justification and selection of vegetation indices to determine the early soybeans readiness for harvesting

R Kurbanov, N Zakharova - E3S Web of Conferences, 2021 - e3s-conferences.org
An unmanned aerial vehicle monitoring provides operational information on soybean
harvesting readiness for breeders and agronomists. The purpose of the study is to …

Quantifying Physiological Contributions to Yield Loss and Predicting Yield-Driving Traits Using UAV-Based Imagery in Cotton at Different Nitrogen Levels

A Pokhrel - 2023 - search.proquest.com
This study aimed to investigate the contributions of intercepted photosynthetically active
radiation (IPAR), radiation use efficiency (RUE), and harvest index (HI) to nitrogen (N) …

Comparative Analysis of Rice Lodging Area Using a UAV-based Multispectral Imagery

HD Moon, JH Ryu, S Na, SW Jang, S Sin… - Korean Journal of …, 2021 - koreascience.kr
Lodging rice is one of critical agro-meteorological disasters. In this study, the UAV-based
multispectral imageries before and after rice lodging in rice paddy field of Jeollanamdo …