Работы, цитирующие эту работу

Работ: 4

Работа: Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans

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. Concurrent drought threatens wheat and maize production and will widen crop yield gaps in the future

   Miaolei Hou, Yi Li, Asim Biswas +9

   СтатьяClimate change impacts on agricultureAgricultural Systems2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000073

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

4. Sugarcane Mapping and Harvest Monitoring using ML and Google Earth Engine

   Ala Ud Din Awan, Muhammad Hasan Mustafa, Ali Abdul Razzaq Al Tahir +3

   СтатьяSugarcane Cultivation and ProcessingE3S Web of Conferences2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.008885