Ушбу ишга иқтибос қилган ишлар

4 та иш

Иш: Importance of phenological observations and predictions in agriculture

1. Sunflower crop yield prediction by advanced statistical modeling using satellite-derived vegetation indices and crop phenology

   Khilola Amankulova, Nizom Farmonov, Uzbekkhon Mukhtorov +1

   МақолаRemote Sensing in AgricultureGeocarto International20237 иқтибос

   ABIABI:AkademIndex/openalex/2023.article.000152

2. Combining PlanetScope and Sentinel-2 images with environmental data for improved wheat yield estimation

   Nizom Farmonov, Khilola Amankulova, József Szatmári +4

   МақолаRemote Sensing in AgricultureInternational Journal of Digital Earth20233 иқтибос

   ABIABI:AkademIndex/openalex/2023.article.000160

3. Comparison of PlanetScope, Sentinel-2, and landsat 8 data in soybean yield estimation within-field variability with random forest regression

   Khilola Amankulova, Nizom Farmonov, Parvina Akramova +2

   МақолаRemote Sensing in AgricultureHeliyon20230 иқтибос

   ABIABI:AkademIndex/openalex/2023.article.000187

4. A Novel Fusion Method for Soybean Yield Prediction Using Sentinel-2 and PlanetScope Imagery

   Khilola Amankulova, Nizom Farmonov, Enas Abdelsamei +7

   МақолаRemote Sensing in AgricultureIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing20240 иқтибос

   ABIABI:AkademIndex/openalex/2024.article.000464