A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction

M Rashid, BS Bari, Y Yusup, MA Kamaruddin… - IEEE …, 2021 - ieeexplore.ieee.org
An early and reliable estimation of crop yield is essential in quantitative and financial
evaluation at the field level for determining strategic plans in agricultural commodities for …

Mapping forest height and aboveground biomass by integrating ICESat‐2, Sentinel‐1 and Sentinel‐2 data using Random Forest algorithm in northwest Himalayan …

S Nandy, R Srinet, H Padalia - Geophysical Research Letters, 2021 - Wiley Online Library
The present study aims to map forest canopy height by integrating ICESat‐2 and Sentinel‐1
data and investigate the effect of integrating forest canopy height information with Sentinel‐2 …

Crop yield prediction in cotton for regional level using random forest approach

NR Prasad, NR Patel, A Danodia - spatial information research, 2021 - Springer
Early and precise estimation of crop yield plays a crucial role in quantitative and financial
assessment at field level, to lay down strategic plans for import–export policies for …

Mapping maize crop coefficient Kc using random forest algorithm based on leaf area index and UAV-based multispectral vegetation indices

G Shao, W Han, H Zhang, S Liu, Y Wang… - Agricultural Water …, 2021 - Elsevier
Rapid and accurate acquisition of crop coefficient (K c) values is essential for estimating field
crop evapotranspiration (ET). The lack of rapid access to the high-resolution spatial and …

Research on rice leaf area index estimation based on fusion of texture and spectral information

W Yuan, Y Meng, Y Li, Z Ji, Q Kong, R Gao… - … and Electronics in …, 2023 - Elsevier
Abstract Leaf Area Index (LAI) is one of the indicators used to measure the growth status of
rice fields. Rapid, accurate, and large-scale monitoring of LAI plays an important role in …

A Review of Research on Forest Ecosystem Quality Assessment and Prediction Methods

K Guo, B Wang, X Niu - Forests, 2023 - mdpi.com
The accurate assessment and prediction of forest ecosystem quality is an important basis for
evaluating the effectiveness of regional ecological protection and restoration, establishing a …

Combining spectral and textural information from UAV RGB images for leaf area index monitoring in kiwifruit orchard

Y Zhang, N Ta, S Guo, Q Chen, L Zhao, F Li, Q Chang - Remote Sensing, 2022 - mdpi.com
The use of a fast and accurate unmanned aerial vehicle (UAV) digital camera platform to
estimate leaf area index (LAI) of kiwifruit orchard is of great significance for growth, yield …

Spatio-temporal variability of water use efficiency and its drivers in major forest formations in India

S Nandy, M Saranya, R Srinet - Remote Sensing of Environment, 2022 - Elsevier
Forests play a significant role in mitigating the effects of climate change and regulating the
biogeochemical cycles. Water use efficiency (WUE) is an important indicator that links the …

Wheat leaf traits monitoring based on machine learning algorithms and high-resolution satellite imagery

M Jamali, S Soufizadeh, B Yeganeh, Y Emam - Ecological Informatics, 2023 - Elsevier
The leaf, which is a crucial indicator for evaluating crop status, plays an important role in
plants' functions. Determining and monitoring leaf parameters can facilitate the detection …

Combined experimental and TD-DFT/DMOl3 investigations, optical properties, and photoluminescence behavior of a thiazolopyrimidine derivative

AA Abozeed, O Younis, AF Al-Hossainy… - Scientific Reports, 2022 - nature.com
We present here the FT-IR, DFT computation, XRD, optical, and photophysical
characterization of a heterocyclic compound with thienopyrimidine and pyran moieties. TD …