A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops

N Amarasingam, ASA Salgadoe, K Powell… - Remote Sensing …, 2022 - Elsevier
Recent advancements in the application of unmanned aerial vehicles (UAVs) based remote
sensing (RS) in precision agricultural practices have been critical in enhancing crop health …

A review on evapotranspiration estimation in agricultural water management: Past, present, and future

S Wanniarachchi, R Sarukkalige - Hydrology, 2022 - mdpi.com
Evapotranspiration (ET) is a major component of the water cycle and agricultural water
balance. Estimation of water consumption over agricultural areas is important for agricultural …

Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learning

M Cheng, X Jiao, Y Liu, M Shao, X Yu, Y Bai… - Agricultural Water …, 2022 - Elsevier
An accurate in-field estimate of soil moisture content (SMC) is critical for precision irrigation
management. Current ground methods to measure SMC were limited by the disadvantages …

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 …

[HTML][HTML] Integrating climate and satellite remote sensing data for predicting county-level wheat yield in China using machine learning methods

W Zhou, Y Liu, ST Ata-Ul-Karim, Q Ge, X Li… - International Journal of …, 2022 - Elsevier
Early and reliable crop yield prediction on a large scale is imperative for making in-season
crop management decisions as well as for ensuring global food security. The integrated use …

Combining multi-indicators with machine-learning algorithms for maize yield early prediction at the county-level in China

M Cheng, J Penuelas, MF McCabe, C Atzberger… - Agricultural and Forest …, 2022 - Elsevier
The accurate and timely prediction of crop yield at a large scale is important for food security
and the development of agricultural policy. An adaptable and robust method for estimating …

Evaluating data mining classification methods performance in internet of things applications

MA Sulaiman - Journal of Soft Computing and Data Mining, 2020 - penerbit.uthm.edu.my
The world is passing through the stage of the superiority of science and technology. The
impact of this superiority in human life cannot be hidden. There is no doubt that the societies …

Evaluation of WaPOR V2 evapotranspiration products across Africa

ML Blatchford, CM Mannaerts, SM Njuki… - Hydrological …, 2020 - Wiley Online Library
Abstract The Food and Agricultural Organization of the United Nations (FAO) portal to
monitor water productivity through open‐access of remotely sensed derived data (WaPOR) …

Improved agricultural Water management in data-scarce semi-arid watersheds: Value of integrating remotely sensed leaf area index in hydrological modeling

M Paul, A Rajib, M Negahban-Azar… - Science of The Total …, 2021 - Elsevier
In watersheds located in semi-arid regions, vegetation dynamics, evapotranspiration (ET),
and associated water and energy balances collectively play a major role in controlling …

Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: A comparison with traditional machine learning …

D Yu, Y Zha, Z Sun, J Li, X Jin, W Zhu, J Bian, L Ma… - Precision …, 2023 - Springer
Accurate estimation of above-ground biomass (AGB) plays a significant role in
characterizing crop growth status. In precision agriculture area, a widely-used method for …