| Autors: Evstatiev, B., Valova, I., Kaneva, T., Valov, N., Sevov, A., Stanchev, G., Komitov, G., Zhelyazkova, T., Gerdzhikova, M., Todorova, M., Grozeva, N., Saliev, D. N., Damyanov, I. S. Title: Identification of Pasture Degradation Using Remote Sensing Data and Machine Learning: A Case Study of Obichnik Keywords: unmanned aerial vehicle, visual spectrum images, pasture, degradation, random trees, support vector machine, machine learning References Issue
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Цитирания (Citation/s):
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2. Li J., Liang W., Xu M., Tian H., Gao X., Yang Y., Hu R., Zhang Y., Cao C., Threshold Extraction and Early Warning of Key Ecological Factors for Grassland Degradation Risk, 2025, Remote Sensing, issue 17, vol. 17, DOI 10.3390/rs17173098, eissn 20724292 - 2025 - в издания, индексирани в Scopus и/или Web of Science
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Вид: статия в списание, публикация в реферирано издание, индексирана в Scopus и Web of Science