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Mykhailo Lohachov, Ryoji Korei, Kazuo Oki, Koshi Yoshida, Issaku Azechi, Salem Ibrahim Salem and Nobuyuki Utsumi
This article investigates approaches for broccoli harvest time prediction through the application of various machine learning models. This study?s experiment is conducted on a commercial farm in Ecuador, and it integrates in situ weather and broccoli gro...
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Mohammed Baljon and Sunil Kumar Sharma
Every farmer requires access to rainfall prediction (RP) to continue their exploration of harvest yield. The proper use of water assets, the successful collection of water, and the successful pre-growth of water construction all depend on an accurate ass...
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Pablo Salvador, Diego Gómez, Julia Sanz and José Luis Casanova
Crop growth modeling and yield forecasting are essential to improve food security policies worldwide. To estimate potato (Solanum tubersum L.) yield over Mexico at a municipal level, we used meteorological data provided by the ERA5 (ECMWF Re-Analysis) da...
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Svitlana Sharai,Myroslav Oliskevych,Maksym Roi
Pág. 70 - 83
The article deals with the interrelated processes of cargo transportation on the main road transport network. The problem of distribution of available vehicles was stated. The flows of incoming orders are stochastic, but have no features of the simplest....
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Hongmei Zhao, Xuelei Zhang, Shichun Zhang, Weiwei Chen, Daniel Q. Tong and Aijun Xiu
Burning agricultural straw before and/or after harvest is a common farming practice. Regional and extensive agricultural open field straw burning can cause serious air pollution events. This paper looks at the effects of biomass burning emission on regio...
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Muhammad Abid, Grace Ngaruiya, Jürgen Scheffran and Farhad Zulfiqar
Incorporating adaptation into subsistence farming systems is an important strategy to reduce damages related to climate change and to protect livelihoods in developing countries. Using a dataset of 450 farm households collected from three agro-ecological...
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Nguy?n Ðình Phúc DOI: 10.26459/jed.v113i14.3659
Pág. 137 - 145
Using survey data of 267 non-agricultural workers in rural areas of Binh Dinh province, the research uses quantitative analysis by using Probit model. The research results have shown that the correctly forecasting probability of the model is 82.56%, ther...
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