Работы, цитирующие эту работу

Работ: 2

Работа: SOYBEAN YIELD PREDICTION USING REMOTE SENSING IN SOUTHWESTERN PIAUÍ STATE, BRAZIL

1. 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

2. 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