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Xiaoke Wang, Guiling Xu, Yuehua Feng, Jinfeng Peng, Yuqi Gao, Jie Li, Zhili Han, Qiangxin Luo, Hongjun Ren, Xiaoxuan You and Wei Lu
Accurately estimating aboveground dry biomass (ADB) is crucial. The ADB of rice has primarily been estimated using vegetation indices with several discrete bands; nevertheless, these indices cannot take advantage of continuous bands available with hypers...
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Arwa A. AL-Huqail, Mostafa A. Taher, Ivan ?iric, Madhumita Goala, Bashir Adelodun, Kyung Sook Choi, Piyush Kumar, Vinod Kumar, Pankaj Kumar and Ebrahem M. Eid
With the increasing demand for electronic devices that use batteries, e-waste is also becoming a major threat to the environment. Battery e-waste contains hazardous heavy metals that affect the health of the soil ecosystem. Thus, the present study evalua...
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Yue Zhang, Yang Li, Xiang Han, Ang Gao, Shuaijie Jing and Yuepeng Song
Achieving fast and accurate prediction of the fruit mechanical damage area is important to improve the accuracy and efficiency of apple quality grading. In this paper, the spectral data of all samples in the wavelength range from 376 to 1011 nm were coll...
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Junwei Ma, Lijuan Wang and Pengfei Chen
Gaussian process regression (GPR) can effectively solve the problem of high-dimensional modeling with a small sample size. However, there is a lack of studies comparing GPR with other methods for leaf area index (LAI) inversion using hyperspectral data. ...
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Naji Mordi Naji Al-Dosary, Abdulwahed Mohamed Aboukarima and Saad Abdulrahman Al-Hamed
The focal objective of the current research is to apply artificial neural network (ANN) and multiple linear regression (MLR) methods for modeling the performance attributes of a mechanization unit (tractor-chisel plow) during the plowing process under bo...
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