Работы, цитирующие эту работу

Работ: 3

Работа: Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

1. Advancing agriculture with machine learning: a new frontier in weed management

   Mohammad Mehdizadeh, Duraid K. A. Al-Taey, Anahita Omidi +5

   СтатьяSmart Agriculture and AIFrontiers of Agricultural Science and Engineering2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000927

2. Evaluation of cotton planting suitability in Xinjiang based on climate change and soil fertility factors simulated by coupled machine learning model

   Yonglin Jia, Yi Li, Asim Biswas +10

   СтатьяRemote Sensing in AgricultureResources Environment and Sustainability2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001534

3. Edge Computing for Real-Time Crop Health Monitoring in Precision Agriculture

   Tharrengini Suresh, Mohammed H. Fallah, Dr. Utkarsh Anand +4

   СтатьяSmart Agriculture and AI2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.018490