Proceedings
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| Filter results2 paper(s) found. |
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1. In-season Nitrogen Management for Wheat in Tunisia Using Proximal and Remote SensingWhile the cereal sector represents an important factor in the social and economic farming structure in Tunisia, the national wheat average yield is very low, estimated to 1.4 t/ha. However, the frequent spreading of nitrogen in large quantities to raise yields can lead to low use efficiency of N and groundwater pollution. In Sweden, digital tools using proximal and remote sensing for variable rate application (VRA) of nutrients were developed and widely used by farmers to optimize fertilization... M. Mechri, O. Alshihabi, H. Angar, I. Nouiri, M. Soderstrom, K. Persson, S. Phillips |
2. Automated Analysis of Dairy Cow Bedding Behavior Patterns Based on Deep Learning TechnologyStalls are among the most frequently used facilities for dairy cows. Their design and use directly affect the cows’ health, comfort, and willingness to lie down. These factors are closely associated with both animal welfare and milk production. Therefore, monitoring stall use provides a practical basis for evaluating stall design and barn environment quality, in line with the Five Freedoms of Animal Welfare. This study proposes an automated system based on deep learning to analyze stall... C. Chang |