Recent Articles

• Mouazen, A.M.; Alhwaimel, S.; Kuang, B.; Waine, T.W. (2013). Fusion of multi soil data for the delineation of management zones for variable rate irrigation. The 9th European Conference on Precision Agriculture (ECPA), 7-11 July, Lleida, Spain.
• Moshou, D., Pantazi, X-E., Kateris, D., Gravalos, I., Mouazen, A.M. (2013). Active learning sensor fusion system for crop disea se detection, Proceedings of the 5th International Conference TAE 2013 (Trends in Agricultural Engineering), 3-6 September, FE CULS Prague, Czech Republic, p.p. 430-434.
• Moshou, D., Pantazi, X-E., Kateris, D., Gravalos, I., Mouazen, A.M. (2013). Cognitive fusion architectures for decision support in precision farming (FARMFUSE), Proceedings of XXXV CIOSTA CIGR V Conference, 3-5 July, Billund, Denmark.
• Moshou, D., Pantazi, X-E., Kateris, D., Gravalos, I. (2013). Crop and weed species recognition based on hyperspectral sensing andactive learning, Proceedings of 9th European Conference on Precision Agriculture (9th ECPA), 7-11 July, Lleida, Catalonia, Spain.
• Moshou, D., Pantazi, X-E., Kateris, D., Gravalos, I. (2014). Water stress detection based on optical multisensor fusion with a least squares support vector machine classifier, Biosystems Engineering 117, p.p 15-22.
• Pantazi, X-E., Moshou, D., Mouazen, A.M. Crop and weed species recognition based on hyper spectral imaging and hierarchical self-organizing maps, RHEA Conference, 21-23 May, Madrid, Spain, p.p. 101-110.
• Pantazi, X-E., Moshou, D., Oberti, R., Kateris, D., Bravo, C., West, J., Ramon, H., Mouazen, A.M. (2014). Active learning system for autonomous combined biotic and abiotic crop stress detection, RHEA Conference, 21-23 May, Madrid, Spain, p.p. 167-176.
• Pantazi, X-E., Moshou, D., Kuang, B., Mouazen, A.M., Alexandridis, T. (2014). Application of supervised self organising models for wheat yield prediction, Proceedings (Springer) AIAI Conference, 19-21 September, Rhodes, Greece.
• Tekin, Y., Ulusoy, Y., Tümsavaş, Z., Mouazen, A.M. (2014). Prediction of Cation Exchange Capacity Using Visible and Near Infrared Spectroscopy. 12th International Conference Precision Agriculture, July 20-23, Sacramento, USA. Oral Presentation.
• Wiebensohn, J., Whetton, R., Kuang, B., Bill, R., Mouazen, A.M. (2014). Fusion of multi-source and multi-sensor information on soil and crop for optimised crop production system. A poster presented at 17 - 19 June 2014 at the DLG International Crop Production Center in Bernburg-Strenzfeld (DLG-Feldtage), Germany.
• Tekin, Y., Ulusoy, Y., Tümsavaş, Z., Mouazen, A.M. (2014). Prediction of Cation Exchange Capacity Using Visible and Near Infrared Spectroscopy. 12th International Conference on Precision Agriculture. July 20-23, Sacramento, San Francisco, USA.
• Pantazi, X-E., Moshou, D., Kuang, B., Mouazen, A.M., Alexandridis, T. (2014). Application of supervised self organising models for wheat yield prediction, Proceedings (Springer) AIAI Conference, 19-21 September, Rhodes, Greece.
• Tekin, Y., Ulusoy, Y., Tümsavaş, Z., Mouazen, A.M. (2014). Online Measurement of Soil Organic Carbon as Correlated with Wheat Normalised Difference Vegetation Index in a Vertisol Field. The Scientific World Journal, Volume 2014 (2014), Article ID 569057, 12 pages.
• Kuang, B., Tekin, Y., Mouazen, A. M. (2015). Comparison between artificial neural network and partial least squares for on-line visible and near infrared spectroscopy measurement of soil organic carbon, pH and clay content. Soil & Tillage Research, 146, 243–252. 2015.
• Ulusoy, Y.; Tekin, Y.; Tümsavaş, Z.; Mouazen, A.M., 2015. Prediction of cation exchange capacity using on-line visible and near infrared spectroscopy sensor. Biosystems Engineering. (in review).
• Moshou, D., Pantazi, X-E., Operti, R., Bravo, C., West, J., Mouazen, A.M . (2015). Crop Health Condition Monitoring based on the identification of Biotic and Abiotic Stresses by using Hierarchical Self Organizing Classifiers. ECPA 2015.
• Pantazi, X-E., Moshou, D., Mouazen, A.M., Alexandridis, T. (2015). Data Fusion of Proximal Soil Sensing and Remote Crop Sensing for the Delineation of Management Zones in Arable Crop Precision Farming. HAICTA 2015.