Работы, цитирующие эту работу

Работ: 3

Работа: Crop Yield Prediction Using Machine Learning Models: Case of Irish Potato and Maize

1. 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

2. Decoupling Driving Factors and High‐Precision Prediction of Food Security in Central Asia Based on a Coupled PLS‐SEM and PSO‐LSSVM Model

   Qingtao Ma, Yonghui Yang, Zhijie Bai +10

   СтатьяAgricultural Economics and PracticesFood and Energy Security2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.003024

3. The Impact of Normalization on Regression-Based Crop Yield Prediction: Accuracy and Efficiency Analysis

   Dilmurod Khasanov, Barno Daminova, Ma'ruf Tojiyev

   СтатьяSmart Agriculture and AI2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.014044