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Che-Hao Chang, Jason Lin, Jia-Wei Chang, Yu-Shun Huang, Ming-Hsin Lai and Yen-Jen Chang
Recently, data-driven approaches have become the dominant solution for prediction problems in agricultural industries. Several deep learning models have been applied to crop yield prediction in smart farming. In this paper, we proposed an efficient hybri...
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Yin Tang, Lizhuo Zhang, Dan Huang, Sha Yang and Yingchun Kuang
In view of the current problems of complex models and insufficient data processing in ultra-short-term prediction of photovoltaic power generation, this paper proposes a photovoltaic power ultra-short-term prediction model named HPO-KNN-SRU, based on a S...
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Marek Vochozka, Svatopluk Janek and Zuzana Rowland
The research goal presented in this paper was to determine the strength of the relationship between the price of coffee traded on ICE Futures US and Consumer Price Indices in the major urban agglomerations of the United States?New York, Chicago, and Los ...
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Shamotra Oad, Monzur Alam Imteaz and Fatemeh Mekanik
Water resources systems planning, and control are significantly influenced by streamflow forecasting. The streamflow in northern and north-central regions of Victoria (Australia) is influenced by different climate indices, such as El Niño Southern Oscill...
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Kandasamy Senthilraja, Subramanian Venkatesan, Dhandayuthapani Udhaya Nandhini, Manickam Dhasarathan, Balasubramaniam Prabha, Kovilpillai Boomiraj, Shanmugam Mohan Kumar, Kulanthaivel Bhuvaneswari, Muthurajan Raveendran and Vellingiri Geethalakshmi
Tamil Nadu in particular is a key rice-producing region in peninsular India. Hydrochemistry, viz., redox potential (Rh), soil temperature and dissolved oxygen (DO), of rice soils can determine the production of greenhouse gas methane (CH4). In recent dec...
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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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Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Murugappan Murugappan and Hanif Heidari
Entropy measures are effective features for time series classification problems. Traditional entropy measures, such as Shannon entropy, use probability distribution function. However, for the effective separation of time series, new entropy estimation me...
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Ziwei Zhang
Concrete is a highly regarded construction material due to many advantages such as versatility, durability, fire resistance, and strength. Hence, having a prediction of the compressive strength of concrete (CSC) can be highly beneficial. The new generati...
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Gabriel B. Senay, Stefanie Kagone, Gabriel E. L. Parrish, Kul Khand, Olena Boiko and Naga M. Velpuri
We enhanced the agro-hydrologic VegET model to include snow accumulation and melt processes and the separation of runoff into surface runoff and deep drainage. Driven by global weather datasets and parameterized by land surface phenology (LSP), the enhan...
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Denilson Alves de Melo, Patrícia Costa Silva, Adriana Rodolfo da Costa, Josué Gomes Delmond, Ana Flávia Alves Ferreira, Johnny Alves de Souza, José Francisco de Oliveira-Júnior, Jhon Lennon Bezerra da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim, Pedro Rogerio Giongo, Maria Beatriz Ferreira, Abelardo Antônio de Assunção Montenegro, Henrique Fonseca Elias de Oliveira, Thieres George Freire da Silva and Marcos Vinícius da Silva
The objective of this study was to develop and calibrate a photovoltaic-powered soil moisture sensor (SMS) for irrigation management. Soil moisture readings obtained from the sensor were compared with gravimetric measurements. An automated SMS was used i...
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