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| Filter results3 paper(s) found. |
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1. CropSAT – opportunities for applications in precision agriculture in AfricaThe present paper aims at describing the CropSAT system, a Sentinel-2-based interactive decision support system (DSS) that provides vegetation index (VI) maps free-of-charge all across the globe for different applications in precision agriculture. We summarize research results from the ongoing developmental process and pointing to opportunities for development and application in precision agriculture in Africa. The DSS was initially developed in a research project at the Swedish University of... O. Alshihabi, I. Nouiri, M. Mechri, H. Angar, K. Piikki, J. Martinsson, M. Söderström |
2. Development of Lodging Direction Determination System Using Image ProcessingIn this study, image processing system was developed for application on rice plants to determine lodging condition, which was contributing factor to declining harvester efficiency by using combine harvester. Therefore, We developed a system for determination of the lodging direction by algorithm based on convolutional neural network (CNN). As for deep learning framework, Pytorch1.1.0 were used to train and test the judging direction. GoogLeNet was used as a pre-trained CNN model. Lodging... E. Morimoto, Y. Arai, K. Nonami, T. Ito |
3. Assessment of Nitrogen Fertilization in Tunisian Wheat Production Using Proximal and Remote SensingThe cereal sector in Tunisia covers wide areas in the country from sub-humid to semi-arid zones; most of the fields are rainfed. The sector is suffering from climate change impacts in term of rainfall amount and pattern. Water management policy in the country prioritizes allocating surface water to domestic uses than irrigation. On the other hand irrigation using groundwater (e.g. in Kairouan) continue to over use the water table with an average drawdown of 5 m/year. Because of this, low efficiency... M. Mechri, O. Alshihabi, H. Angar, I. Nouiri, M. Landolsi, M. Söderström, K. Persson, S. Phillips |
