Bibliometric analysis of global NDVI research trends from 1985 to 2021

Y Xu, Y Yang, X Chen, Y Liu - Remote Sensing, 2022 - mdpi.com
As one of the earliest remote sensing indices, the Normalized Difference Vegetation Index
(NDVI) has been employed extensively for vegetation research. However, despite an …

[HTML][HTML] High-throughput phenotyping of plant leaf morphological, physiological, and biochemical traits on multiple scales using optical sensing

H Zhang, L Wang, X Jin, L Bian, Y Ge - The Crop Journal, 2023 - Elsevier
Acquisition of plant phenotypic information facilitates plant breeding, sheds light on gene
action, and can be applied to optimize the quality of agricultural and forestry products …

A review on smart irrigation management strategies and their effect on water savings and crop yield

S Touil, A Richa, M Fizir… - Irrigation and …, 2022 - Wiley Online Library
Appropriate irrigation water management has attracted a considerable degree of attention
because it is crucial to guarantee water and food security worldwide. A smart irrigation …

Thermal imaging: The digital eye facilitates high-throughput phenotyping traits of plant growth and stress responses

T Wen, JH Li, Q Wang, YY Gao, GF Hao… - Science of The Total …, 2023 - Elsevier
Plant phenotyping is important for plants to cope with environmental changes and ensure
plant health. Imaging techniques are perceived as the most critical and reliable tools for …

[HTML][HTML] Evaluation of UAV-based drought indices for crop water conditions monitoring: A case study of summer maize

M Cheng, C Sun, C Nie, S Liu, X Yu, Y Bai, Y Liu… - Agricultural Water …, 2023 - Elsevier
Accurately monitoring the crop water conditions (CWC) is vital for agricultural water
management. Traditional in situ measurements are limited by inefficiency and lack of spatial …

Improved estimation of canopy water status in maize using UAV-based digital and hyperspectral images

S Meiyan, D Qizhou, F ShuaiPeng, Y Xiaohong… - … and electronics in …, 2022 - Elsevier
The estimation of water status of maize is important for evaluating crop growth and
conducting precision irrigation. The development of unmanned aerial vehicles (UAVs) …

Can yield prediction be fully digitilized? A systematic review

N Darra, E Anastasiou, O Kriezi, E Lazarou, D Kalivas… - Agronomy, 2023 - mdpi.com
Going beyond previous work, this paper presents a systematic literature review that explores
the deployment of satellites, drones, and ground-based sensors for yield prediction in …

Improved estimation of canopy water status in cotton using vegetation indices along with textural information from UAV-based multispectral images

S Pei, Y Dai, Z Bai, Z Li, F Zhang, F Yin, J Fan - Computers and Electronics …, 2024 - Elsevier
Precise and timely estimation of crop canopy water status is of great importance for precision
irrigation. The unmanned aerial vehicle (UAV)-based remote sensing technology has …

[HTML][HTML] Crop water stress detection based on UAV remote sensing systems

H Dong, J Dong, S Sun, T Bai, D Zhao, Y Yin… - Agricultural Water …, 2024 - Elsevier
Agricultural water accounts for more than 70% of the total global water usage, and the
scarcity of global freshwater resources will largely limit global agricultural production …

[HTML][HTML] Tree crop yield estimation and prediction using remote sensing and machine learning: A systematic review

C Trentin, Y Ampatzidis, C Lacerda… - Smart Agricultural …, 2024 - Elsevier
Yield prediction has long been a valuable tool for farmers seeking to enhance crop
production. Among the many ways to predict yield, the integration of machine learning (ML) …