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| Filter results4 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. Self-developed Small Robot for Tomato Plants DetectionA mobile (robot) measuring station for tomato plant detection has been developed, equipped with different sensors and a self-developed hardware and software background. The development aims are the applications in precision crop production: artificial intelligence- based detection, imaging, data collection, automation, and remote sensing. The robot is fault- free in field conditions and is therefore a key development tool for precision farming and digital agriculture. The measurement system developed... B. Ambrus, G. Teschner, M. Neményi, A. Nyéki |
3. Potato Yield Prediction Using Multi-temporal Sentinel-2 Data and Multiple Linear RegressionTraditional potato growth models have a number of flaws, i.e., the cost of data collection, quality of input data, and the absence of spatial information in some cases. To address these challenges, we created a multiple linear regression model (MLRM) that uses the multi-temporal Sentinel-2 derived indices to predict potato yield. Along the growing season (from October 2019 to February 2020) eight Sentinel-2 imageries were collected, afterwards, the normalized difference vegetation index (NDVI)... M.E. Amin, M.A. Abdelfattah, E.S. Mohamed, A.A. Belal, M. Nabil, A.G. Mahmoud |
4. 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 |