Survey of Crop Identification Using Hyperspectral Satellite Images

Hyperspectral images have a lot of spatial and spectral information, which makes them great for fine crop classification and detection. The hyperspectral remote sensing is more capable than panchromatic remote sensing of obtaining the spectral characteristics and their differences with greater precision. One of the most crucial methods for classifying crops is to make use of remote sensing technology to advance agricultural development. This survey is focusing on the review of various techniques implemented in 25 research papers. The crop identification performance metrics, techniques, published year, dataset used, and tools used are reviewed in this survey. Also, the research gaps and issues in the existing researches are discussed, which offers the ideas for developing new techniques for crop identification.