Работы, цитирующие эту работу

Работ: 6

Работа: Machine Learning in Agriculture: A Review

1. Ensemble Machine Learning Algorithms for Crop Types Classification Based on Intelligent Detection of Soil Properties

   Abror Akhatov, Nazarov Fayzulla, Masudjon Eshmurodov

   СтатьяSmart Agriculture and AI2025Цитирований: 2

   ABIABI:AkademIndex/openalex/2025.article.001361

2. 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

3. Role of Satellites in Agriculture

   Prashant Johri, J. Singh, Sunil Kumar Khatri +2

   ГлаваSmart Agriculture and AIEAI/Springer Innovations in Communication and Computing2021Цитирований: 0

   ABIABI:AkademIndex/openalex/2021.chapter.000032

4. Investigation of static and dynamic characteristics of electromagnetic sensor

   Anvar Djalilov, O Nazarov, S Urolov +1

   СтатьяWater Quality Monitoring TechnologiesIOP Conference Series Earth and Environmental Science2022Цитирований: 0

   ABIABI:AkademIndex/openalex/2022.article.009203

5. Enhancing Food Security Through Distributed Sensing Applications: A Comprehensive Review and Future Prospects

   Мунира Азларова

   ГлаваWater Quality Monitoring TechnologiesAdvances in Science, Technology & Innovation/Advances in science, technology & innovation2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.chapter.000450

6. CNN-Based Image System for Automated Agricultural Crop Condition Monitoring

   Golib Berdiev, Sojida Rayimberdi qizi Ochilova, Muzaffar Ochilov +1

   СтатьяSmart Agriculture and AIAcademia Open2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.002427