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[PDF][PDF] Crop recommendation system using machine learning
ABSTRACT A vast fraction of the population of India considers agriculture as its primary
occupation. The production of crops plays an important role in our country. Bad quality crop …
occupation. The production of crops plays an important role in our country. Bad quality crop …
Analysis of crop prediction models using data analytics and ML techniques: a review
SD Shingade, RP Mudhalwadkar - Multimedia Tools and Applications, 2024 - Springer
One of the essential fields contributing to a nation's development is Agriculture. An efficient
recommendation of crops is essential for strategic plan determination in the agricultural …
recommendation of crops is essential for strategic plan determination in the agricultural …
Streamlit-based enhancing crop recommendation systems with advanced explainable artificial intelligence for smart farming
The main objective of this paper is to clarify the importance of explainability in the crop
recommendation process and provide insights on how Explainable Artificial Intelligence …
recommendation process and provide insights on how Explainable Artificial Intelligence …
Agi for agriculture
Artificial General Intelligence (AGI) is poised to revolutionize a variety of sectors, including
healthcare, finance, transportation, and education. Within healthcare, AGI is being utilized to …
healthcare, finance, transportation, and education. Within healthcare, AGI is being utilized to …
Hyperparameter learning for deep learning-based recommender systems
Deep learning (DL)-based recommender system (RS), particularly for its advances in the
recent five years, has been startling. It reshapes the architectures of traditional RSs by lifting …
recent five years, has been startling. It reshapes the architectures of traditional RSs by lifting …
Voting classifier-based crop recommendation
R Bandi, MSS Likhit, SR Reddy, SR Bodla… - SN Computer …, 2023 - Springer
The three most important necessities for human life are food, shelter, and clothing. Young
people who are technologically savvy have witnessed a significant scientific increase in the …
people who are technologically savvy have witnessed a significant scientific increase in the …
Joint content caching and recommendation in opportunistic mobile networks through deep reinforcement learning and broad learning
Edge caching has been a research hotspot of the Mobile Edge Computing (MEC) in recent
years, which is an effective way to ease the burden of traffic in cellular networks. It places …
years, which is an effective way to ease the burden of traffic in cellular networks. It places …
Crop recommendation system using machine learning algorithms
G Chauhan, A Chaudhary - 2021 10th international conference …, 2021 - ieeexplore.ieee.org
India is a predominantly agricultural country, with agriculture playing animportant part in the
Indian economy and people's lives. Crops are recommended based on soil, weather …
Indian economy and people's lives. Crops are recommended based on soil, weather …
Smart crop recommender system-a machine learning approach
Machine learning has proven its efficacy in solving agricultural problems in the recent years
such as crop recommendation, crop yield prediction, and many such. With the advancement …
such as crop recommendation, crop yield prediction, and many such. With the advancement …
[PDF][PDF] An effective crop recommendation method using machine learning techniques
The soil plays a vital role in agriculture, and soil testing serves as the initial step in
determining the optimal nutrient levels for cultivating specific crops. Machine learning (ML) …
determining the optimal nutrient levels for cultivating specific crops. Machine learning (ML) …