Towards an Efficient Recommender Systems in Smart Agriculture: A deep reinforcement learning approach

Author:

Bouni Mohamed,Hssina Badr,Douzi Khadija,Douzi Samira

Publisher

Elsevier BV

Subject

General Engineering

Reference15 articles.

1. Improving Crop Productivity Through A Crop Recommendation System Using Ensembling Technique;Kulkarni,2018

2. The effects of climate extremes on global agricultural yields;Vogel;Environmental Research Letters,2019

3. AgroConsultant: Intelligent Crop Recommendation System Using Machine Learning Algorithms;Doshi,2018

4. Survey of classification algorithms for formulating yield prediction accuracy in precision agriculture;Savla;Innovations in Information, Embedded and Communication Systems (ICIIECS),2015

5. XCYPF: A Flexible and Extensible Framework for Agricultural Crop Yield Prediction;Manjula,2015

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1. Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture;Smart Agricultural Technology;2024-08

2. Crop Recommendation using Machine Learning Algorithms;Proceedings of the 7th International Conference on Networking, Intelligent Systems and Security;2024-04-18

3. AgriAI: Machine Learning Frameworks for Tailored Crop Recommendations using Soil Nutrient Parameters;2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS);2024-03-08

4. Crop and Fertiliser Recommendation System for Sustainable Agricultural Development;Signals and Communication Technology;2024

5. Agriculture Recommender System for Precision Farming using Machine Learning(ARS);2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA);2023-12-21

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