Machine Learning approaches for Crop Yield Prediction: A Review

M Kulyal, P Saxena - 2022 7th International Conference on …, 2022 - ieeexplore.ieee.org
By providing food producers with much greater access to data about their operations,
artificial intelligence (AI) in agriculture has revolutionized the way that agricultural operations …

Predict the crop-yield through uav using machine learning a systematic literature review

N Hussain, MS Sarfraz, S Sattar… - … Conference on IT and …, 2022 - ieeexplore.ieee.org
Machine learning is used in smart farming to forecast crop yields by analyzing the effects of
climate change on crops. In recent years, Machine learning and UAV based imagery is used …

Comparative Study to determine Accuracy for Weather Prediction using Machine Learning

S Nigam, M Gupta, A Shrinivasan… - 2023 International …, 2023 - ieeexplore.ieee.org
Comparative Study to determine Accuracy for Weather Prediction using Machine Learning Page
1 2023 International Conference on Computer Communication and Informatics (ICCCI), Jan …

Using A Two-Fold Machine Learning Approach for Crop And Fertilizer Recommendation System

G Hemdeep, A Sowjanya… - 2022 Fourth International …, 2022 - ieeexplore.ieee.org
A farmer's poor decision may have a significant negative impact on his family, his finances,
and sometimes even his life. It also wastes a lot of land and productivity. This system …

Analysis of Trending NFTs using Time-Series Techniques

AR Borah, S Kumar, SV Kasish… - … on Smart Generation …, 2022 - ieeexplore.ieee.org
The financial ecology has changed thanks to blockchain technology. The first known
instance of blockchain may be found in a 2008 whitepaper written by a person using the …

Smart Use of Solar Radiation in Agriculture Purpose

M Gupta, NN Kumar, M Reddy… - 2023 International …, 2023 - ieeexplore.ieee.org
A promising renewable energy technique is solar energy. Due to the rotation of the Earth,
conventional stationary solar panels have a limited region of sun exposure. This issue is …

A systematic technique used for portable telemedicine system

M Gupta, S Nigam, Y Evangelin… - 2023 International …, 2023 - ieeexplore.ieee.org
With the increasing health issues in today's world, healthcare technology has grown to be
one of the most popular studies nowadays. With the increasing demand for doctors and long …

Agrobot: Agricultural Robot using IoT and Machine Learning (ML)

DR Ramani, P Rachna, G Pavan… - … on Smart Data …, 2023 - ieeexplore.ieee.org
In today's world agriculture plays a very important role in the manufacturing of textiles,
clothes, production of surplus number of crops that is food, which is essential for the …

Na\" ive Bayes and Random Forest for Crop Yield Prediction

A Maazallahi, S Thota, NP Kondaboina… - arXiv preprint arXiv …, 2024 - arxiv.org
This study analyzes crop yield prediction in India from 1997 to 2020, focusing on various
crops and key environmental factors. It aims to predict agricultural yields by utilizing …

Crop Yield Prediction Using Machine Learning Approaches

D Bhagat, S Shah, RK Gupta - International Conference on Machine …, 2023 - Springer
Crop yield prediction plays an essential role in agricultural planning and decision-making.
The present research offers a comprehensive study into the use of machine learning …