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Haipeng Lin, Xuefeng Song, Fei Dai, Fengwei Zhang, Qiang Xie and Huhu Chen
Hardness is a critical mechanical property of grains. Accurate predictions of grain hardness play a crucial role in improving grain milling efficiency, reducing grain breakage during transportation, and selecting high-quality crops. In this study, we dev...
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Pasquale Garofalo, Marco Parlavecchia, Luisa Giglio, Ivana Campobasso, Alessandro Vittorio Vonella, Marco Botta, Tommaso Tadiello, Vincenzo Tucci, Francesco Fornaro, Rita Leogrande, Carolina Vitti, Alessia Perego, Marco Acutis and Domenico Ventrella
In anticipation of climate changes, strategic soil management, encompassing reduced tillage and optimized crop residue utilization, emerges as a pivotal strategy for climate impact mitigation. Evaluating the transition from conventional to conservative c...
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Chunming Chi, Changwei Zhao and Jinhu Zhi
This study aims to accurately describe the soil?water characteristic curve (SWCC) across the full range from saturation to oven dryness. We propose a smooth, continuous three-segmented SWCC model that divides the saturation range into wet, air-dried, and...
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Yubo Wen, Yuanyuan Wang, Chunjun Tao, Wenbing Ji, Shunsheng Huang, Mo Zhou and Xianqiang Meng
The elevated accumulation of cadmium (Cd) in rice (Oryza sativa L.) and tea (Camellia sinensis L.) grown in agricultural soils may lead to a variety of adverse health effects. This study collected and analyzed crop samples along with paired rhizosphere s...
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Qiang Huang, Zongyuan Wu, Mantao Wang, Youzhi Tao, Yinghao He and Francesco Marinello
This study proposes an improved link prediction model for predicting the ?suitable for people? relationship within the knowledge graph of tea. The relationships between various types of tea and suitable target groups have yet to be fully explored, and th...
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