Smart Farming Techniques for New Farmers Using Machine Learning

Author:

Rohit Ramena Venkata Satya,Chandrawat Dhrati,Rajeswari D.

Publisher

Springer Singapore

Reference10 articles.

1. Bodake K, Ghate R, Doshi H, Jadhav P, Tarle B (2018) Soil based fertilizer recommendation system using internet of things. MVP J Eng Sci 01(01)

2. Kumar R, Singh MP, Kumar P, Singh JP (2015) Crop selection method to maximize crop yield rate using machine learning technique. In: International conference on smart technologies and management for computing, communication, controls, energy and materials (ICSTM)

3. Raghav Kumar T, Aiswarya B, Suresh A, Jain D, Balaji N, Sankaran V (2018) Smart management of crop cultivation using IOT and machine learning. Int Res J Eng Technol (IRJET) 05(11)

4. Rajak RK, Pawar A, Pendke M, Shinde P, Rathod S, Devare A (2017) Crop recommendation system to maximize crop yield using machine learning technique. Int Res J Eng Technol (IRJET) 04(12)

5. Ghosh S, Koley S (2014) Machine Learning for soil fertility and plant nutrient management using back propagation, Neural network. Int J Recent Innov Trends Comput Commun 02(02)

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Prediction of students educational academic recognition using neural networks;AIP Conference Proceedings;2024

2. Advancing Agriculture in Smart Cities: Renewable Energy and Artificial Intelligence-Powered IoT;E3S Web of Conferences;2024

3. Colour Correction and Detail Enhancement in Underwater Images using Hybrid Real-ESRGAN;2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA);2023-12-21

4. Customer Churn Prediction Using Machine Learning Approaches;2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF);2023-01-05

5. Basketball Win Percentage Prediction using Ensemble-based Machine Learning;2022 6th International Conference on Electronics, Communication and Aerospace Technology;2022-12-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3