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 …

[HTML][HTML] Supply chain risk management with machine learning technology: A literature review and future research directions

M Yang, MK Lim, Y Qu, D Ni, Z ** of research on land use change and food security: a visual analysis using CiteSpace and VOSviewer
P Cheng, H Tang, Y Dong, K Liu, P Jiang… - International Journal of …, 2021 - mdpi.com
Many scholars have conducted in-depth research on the theme of land use change and food
security, and formed fruitful research results, but there is a lack of quantitative analysis and …

Combining spectral and texture features of UAS-based multispectral images for maize leaf area index estimation

X Zhang, K Zhang, Y Sun, Y Zhao, H Zhuang, W Ban… - Remote Sensing, 2022 - mdpi.com
The leaf area index (LAI) is of great significance for crop growth monitoring. Recently,
unmanned aerial systems (UASs) have experienced rapid development and can provide …

High-resolution crop yield and water productivity dataset generated using random forest and remote sensing

M Cheng, X Jiao, L Shi, J Penuelas, L Kumar, C Nie… - Scientific data, 2022 - nature.com
Accurate and high-resolution crop yield and crop water productivity (CWP) datasets are
required to understand and predict spatiotemporal variation in agricultural production …

A research landscape bibliometric analysis on climate change for last decades: Evidence from applications of machine learning

SSM Ajibade, A Zaidi, FV Bekun, AO Adediran… - Heliyon, 2023 - cell.com
Climate change (CC) is one of the greatest threats to human health, safety, and the
environment. Given its current and future impacts, numerous studies have employed …