Soil Fertility Assessment and Crop Recommendation for Sustainable Farming using Machine Learning and Deep Learning
Author:
Affiliation:
1. Dayananda Sagar University,Computer Science and Engineering,Bangalore,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10502390/10502383/10503113.pdf?arnumber=10503113
Reference8 articles.
1. Soil fertility evaluation: a potential tool for predicting fertilizer requirement for crops in Nigeria
2. Assessment of Soil Fertility Status under Different Cropping Sequences in District Kapurthala
3. Rapeseed as a previous crop reduces rice N fertilizer input by improving soil fertility
4. Evaluation of digital soil mapping approach for predicting soil fertility parameters—a case study from Karnataka Plateau, India
5. IoT-Driven Artificial Intelligence Technique for Fertilizer Recommendation Model
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1. Enhancing Process Control in Agriculture: Leveraging Machine Learning for Soil Fertility Assessment;The 3rd International Electronic Conference on Processes;2024-09-05
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