# Rice Farming Age Detection Use Drone Based on SVM Histogram Image Classification
> Marsujitullah

URL kanonis: https://discover.unhas.ac.id/publications/rice-farming-age-detection-use-drone-based-on-svm-histogram-image-classification
Jurnal / Konferensi: Journal of Physics Conference Series
Tahun terbit: 2019
DOI: https://doi.org/10.1088/1742-6596/1198/9/092001
ISSN: 17426588
Citations: 32

## Authors
- Marsujitullah

## Abstract
Rice is the largest main food commodity in Indonesia. This makes rice farming technology needs to be developed to increase production. One of them is the technology development for rice age monitoring. In this paper, we presented the new method for Identified the growth phase of rice farming by using an Image from drone for information collecting in huge farming area. an Image data from drone is processed using an Image Processing method called Histogram of Color. After histogram information extracted, the data will be classified using machine learning called Support Vector Machine (SVM). the result of SVM is a classification of Rice farming's phase growth from pre-planting phase until harvesting phase. From the result of research, the accuracy of this method is about 93,3 %.

## Keywords
- Histogram
- Support vector machine
- Drone
- Agriculture
- Artificial intelligence
- Computer science
- Image histogram
- Image processing
- Pattern recognition (psychology)
- Agricultural engineering
- Image (mathematics)
- Geography
- Engineering
- Image texture
- Biology
- Genetics
- Archaeology

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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