Работы, цитирующие эту работу

Работ: 3

Работа: Crop Yield Prediction Using Deep Neural Networks

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. Effectiveness of machine learning and deep learning models at county-level soybean yield forecasting

   Nizom Farmonov, Khilola Amankulova, Shahid Nawaz Khan +6

   СтатьяRemote Sensing in AgricultureHungarian Geographical Bulletin2024Цитирований: 1

   ABIABI:AkademIndex/openalex/2024.article.001464

3. 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