Работы, цитирующие эту работу

Работ: 4

Работа: 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

   СтатьяRemote Sensing in AgricultureGeocarto International2023Цитирований: 7

   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

   СтатьяRemote Sensing in AgricultureInternational Journal of Digital Earth2023Цитирований: 3

   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

   СтатьяRemote Sensing in AgricultureHeliyon2023Цитирований: 0

   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

   СтатьяRemote Sensing in AgricultureIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000464