Работы, цитирующие эту работу

Работ: 3

Работа: Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

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. 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

3. Viticulture and wine production: Challenges, opportunities and possible implications

   J.B. Sapaev, Jamoliddin Fayziev, I Sapaev +3

   СтатьяHorticultural and Viticultural ResearchE3S Web of Conferences2023Цитирований: 0

   ABIABI:AkademIndex/openalex/2023.article.001708