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Edmond Maican, Adrian Iosif and Sanda Maican
Using neural networks on low-power mobile systems can aid in controlling pests while preserving beneficial species for crops. However, low-power devices require simplified neural networks, which may lead to reduced performance. This study was focused on ...
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Jiying Kong, Zhenhai Luo, Chao Zhang, Min Tang, Rui Liu, Ziang Xie and Shaoyuan Feng
The fraction of absorbed photosynthetically active radiation (FPAR), which represents the capability of vegetation-absorbed solar radiation to accumulate organic matter, is a crucial indicator of photosynthesis and vegetation growth status. Although a si...
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Roman Waclawowicz, Magdalena Giemza, Elzbieta Pytlarz and Anna Wenda-Piesik
Under the pro-environmental principles of agricultural production, soil cultivation and organic fertilization are of particular importance as strategical elements in reducing weed infestation in the context of sustainable agriculture. The aim of this stu...
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Shuai Zhang, Weizhen Wei, Xiaoliang Chen, Liyou Xu and Yuntao Cao
The combination of characteristic parameters is the key and difficult point to improving the vibration attenuation of scissor seat suspension. This paper proposes a multi-objective optimization method based on entropy weight gray correlation to optimize ...
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Dandan Han, Saiqi Zeng, Xi Zhang, Jumei Li and Yibing Ma
Modelling the lime requirement (LR) is a fast and efficient way to determine the amount of lime required to obtain a pH that can overcome the adverse effects caused by soil acidification. This study aimed to model the LR based on the properties of soil a...
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