Crop yield prediction based on Indian agriculture using machine learning

PS Nishant, PS Venkat, BL Avinash… - 2020 international …, 2020 - ieeexplore.ieee.org
In India, we all know that Agriculture is the backbone of the country. This paper predicts the
yield of almost all kinds of crops that are planted in India. This script makes novel by the …

[PDF][PDF] Applications of machine learning techniques in agricultural crop production: a review paper

S Mishra, D Mishra, GH Santra - Indian J. Sci …, 2016 - sciresol.s3.us-east-2.amazonaws …
Objective: This paper has been prepared as an effort to reassess the research studies on the
relevance of machine learning techniques in the domain of agricultural crop production …

Analysis of agriculture data using data mining techniques: application of big data

J Majumdar, S Naraseeyappa, S Ankalaki - Journal of Big data, 2017 - Springer
In agriculture sector where farmers and agribusinesses have to make innumerable
decisions every day and intricate complexities involves the various factors influencing them …

Crop recommender system using machine learning approach

SM Pande, PK Ramesh, A Anmol… - 2021 5th …, 2021 - ieeexplore.ieee.org
Agriculture and its allied sectors are undoubtedly the largest providers of livelihoods in rural
India. The agriculture sector is also a significant contributor factor to the country's Gross …

An approach for prediction of crop yield using machine learning and big data techniques

K Palanivel, C Surianarayanan - International Journal of Computer …, 2019 - papers.ssrn.com
Agriculture is the primary source of livelihood which forms the backbone of our country.
Current challenges of water shortages, uncontrolled cost due to demand-supply, and …

Potato yield prediction using machine learning techniques and sentinel 2 data

D Gómez, P Salvador, J Sanz, JL Casanova - Remote Sensing, 2019 - mdpi.com
Traditional potato growth models evidence certain limitations, such as the cost of obtaining
the input data required to run the models, the lack of spatial information in some instances …

A comprehensive review of Data Mining techniques in smart agriculture

HA Issad, R Aoudjit, JJPC Rodrigues - Engineering in Agriculture …, 2019 - jstage.jst.go.jp
Agriculture remains a vital sector for most countries. It presents the main source of food for
the population of the world. However, it faces a big challenge: producing more and better …

Prediction of crop yield using machine learning

MA Shaik, G Manoharan, B Prashanth… - AIP Conference …, 2022 - pubs.aip.org
Farming is the major work which is considered as a culture instead like job and farming is
the back bone of our economy as farming is the means which carried forth human …

From data to harvest: Leveraging ensemble machine learning for enhanced crop yield predictions across Canada amidst climate change

NM Gharakhanlou, L Perez - Science of The Total Environment, 2024 - Elsevier
Accurate crop yield predictions are crucial for farmers and policymakers. Despite the
widespread use of ensemble machine learning (ML) models in computer science, their …

Agricultural recommendation system for crops using different machine learning regression methods

M Garanayak, G Sahu, SN Mohanty… - International Journal of …, 2021 - igi-global.com
Agriculture is a foremost field within the world, and it's the backbone in the Republic of India.
Agriculture has been in poor condition. The impact of temperature variations and its …