A5070225218- Smart Agriculture and AI
- Remote Sensing in Agriculture
- Mosquito-borne diseases and control
- Dengue and Mosquito Control Research
- Rice Cultivation and Yield Improvement
NeuroDevelopment Center
2021
This research is an outcome of the R&D activities Ecodevelopment S.A. (steadily supported by Hellenic Agricultural Organization—Demeter) towards offering precision farming services to rice growers. Within this framework, a new methodology for topdressing nitrogen prediction was developed based on machine learning. Nitrogen key element in culture and its rational management can increase productivity, reduce costs, prevent environmental impacts. A multi-source, multi-temporal, multi-scale...
Surface-water body maps are imperative for effective mosquito larvae control. This study aims to select a method the automatic and regular mapping of surface-water bodies in rice fields wetlands using Sentinel-1 synthetic aperture radar data. Four methods were adapted developed automated application: Otsu valley-emphasis algorithm, classification based on textural feature entropy, K-means unsupervised classification, Haralick's dissimilarity fuzzy-rules classification. The results assessed...