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Abdallah E. Elwakeel, Yasser S. A. Mazrou, Aml A. Tantawy, Abdelaziz M. Okasha, Adel H. Elmetwalli, Salah Elsayed and Abeer H. Makhlouf
The use of automatic systems in the agriculture sector enhances product quality and the country?s economy. The method used to sort fruits and vegetables has a remarkable impact on the export market and quality assessment. Although manual sorting and grad...
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Xiangpeng Fan and Zhibin Guan
The automatic recognition of crop diseases based on visual perception algorithms is one of the important research directions in the current prevention and control of crop diseases. However, there are two issues to be addressed in corn disease identificat...
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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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Zhao Xue, Jun Fu, Qiankun Fu, Xiaokang Li and Zhi Chen
Green forage maize harvesters face challenges such as high soil humidity and soft soil in the field, mismatched working parameters, and poor reliability and adaptability. These challenges often result in header blockage, significant harvest loss, and inc...
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Javier Reyes and Mareike Ließ
Agricultural soils serve as crucial storage sites for soil organic carbon (SOC). Their appropriate management is pivotal for mitigating climate change. Continuous monitoring is imperative to evaluate spatial and temporal changes in SOC within agricultura...
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