Machine Learning and IoT based Seed Suggestion: To Increase Agriculture Harvesting and Development
Author:
Affiliation:
1. CSE,K.Ramakrishnan College of Engineering,Trichy,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10104520/10104522/10104981.pdf?arnumber=10104981
Reference12 articles.
1. Identification of Soil Texture Classes Under Vegetation Cover Based on Sentinel-2 Data With SVM and SHAP Techniques
2. Application of a Change Detection Soil Moisture Retrieval Algorithm to Combined, Semiconcurrent Radiometer, and Radar Observations
3. User Alignment with Jumping Seed Alignment Information Propagation
4. Baseline-Based Soil Salinity Index (BSSI): A Novel Remote Sensing Monitoring Method of Soil Salinization
5. Analyzing Effects of Crops on SMAP Satellite-Based Soil Moisture Using a Rainfall–Runoff Model in the U.S. Corn Belt
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