Работы, цитирующие эту работу

Работ: 2

Работа: Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest

1. 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

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