An Intelligent Model to Suggest Top Productive Seasonal Crops Based on User Location in the Context of Bangladesh-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An Intelligent Model to Suggest Top Productive Seasonal Crops Based on User Location in the Context of Bangladesh

Published:2021-09-04 Issue: Volume: Page:289-300
ISSN:2190-3018
Container-title:Smart Systems: Innovations in Computing
language:
Short-container-title:

Author:

Zubair Md.^ORCID,Ahmed Sibbir^ORCID,Dey Ashim^ORCID,Das Annesha^ORCID,Hasan Md. Mahadi^ORCID

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-2877-1_26

Reference16 articles.

1. Fuller, D.Q., Stevens, C.J.: Between domestication and civilization: the role of agriculture and arboriculture in the emergence of the first urban societies. Vegetation History Archaeobotany 28(3), 263–282 (2019)

2. Schneider, U.A., Havlík, P., Schmid, E., Valin, H., Mosnier, A., Obersteiner, M., Böttcher, H., Skalskỳ, R., Balkovič, J., Sauer, T., et al.: Impacts of population growth, economic development, and technical change on global food production and consumption. Agric. Syst. 104(2), 204–215 (2011)

3. Bagchi, M., Rahman, S., Shunbo, Y.: Growth in agricultural productivity and its components in Bangladeshi regions (1987–2009): an application of bootstrapped data envelopment analysis (dea). Economies 7(2), 37 (2019)

4. Wang, S., Feng, J., Liu, G.: Application of seasonal time series model in the precipitation forecast. Mathe Comput. Modell. 58(3–4), 677–683 (2013)

5. Rahmati, O., Choubin, B., Fathabadi, A., Coulon, F., Soltani, E., Shahabi, H., Mollaefar, E., Tiefenbacher, J., Cipullo, S., Ahmad, B.B., et al.: Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and uneec methods. Sci. Total Environ. 688, 855–866 (2019)

Cited by 1 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. A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors;2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS);2024-03-08

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