"Crop Yield Prediction for India Using Regression Algorithms"

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Book	Author(s)	Year	Publisher
Principal Component Regression for Crop Yield Estimation	T.M.V. Suryanarayana; P.B. Mistry	1st ed. 2016	Springer Nature Singapore
Modern Techniques for Agricultural Disease Management and Crop Yield Prediction	N. Pradeep, Sandeep Kautish, C.R. Nirmala	2019	Engineering Science Reference
Mathematical Algorithms for Linear Regression	Helmuth Späth and Werner Rheinboldt	1992	Academic Press
Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms	Zia Ur Rahman; Srinivasareddy Putluri	2021	Routledge
Study of the prediction of manpower change behavior using regression methods	Robert R. Read	1977	Naval Postgraduate School
Growth and Yield Prediction Systems	T.M. Thomson	1991	BC Ministry of Forests
Model-Free Prediction and Regression	Dimitris N. Politis		Springer International Publishing
Regression using JMP	Rudolf J. Freund	2003	SAS Institute;J. Wiley
Low-level stratus prediction using binary statistical regression: a progress report using Moffett Field data	Donald Paul Gaver	1983	Naval Postgraduate School;Available from National Technical Information Service
Crop Yield: Physiology and Processes	Donald L. Smith; Chantal Hamel	1999	Springer Berlin Heidelberg
Crop evolution,adaptation,and yield	L. T. Evans	1993	Cambridge University Press
Crop Management - Cases, Tools for Higher Yield, Sustainability	F. Marin	2012	Intech
Physiology and determination of crop yield	K. J. Boote	1994	American Society of Agronomy;Crop Science Society of America;Soil Science Society of America
Neural, novel & hybrid algorithms for time series prediction /	Masters, Timothy.	[1995], ©1995.	John Wiley & Sons,
Interpreting and Using Regression	Christopher H. Achen	1982	SAGE Publications, Inc
Using crop residues for soil defense	F. L. Duley	1942	U.S. Dept. of Agriculture
India, crop regions.	India. Department of Science and Technology	1981.	Dept. of Science and Technology,
Translational Genomics for Crop Breeding: Abiotic Stress, Yield and Quality	Rajeev Varshney	2013	John Wiley & Sons
Mathematical Models of Crop Growth and Yield	Allen R. Overman; Richard V. Scholtz III	2002	Routledge
Root behavior and crop yield under irrigation	Frank Covert Jean	1924	Carnegie Institution of Washington
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Crop Yield Prediction for India Using Regression Algorithms	Devansh Hiren Timbadia; Sughosh Sudhanvan; Parin Jigishu Shah; Supriya Agrawal	Advances in Computing and Data Sciences: 5th International Conference, ICACDS 2021, Nashik, India, April 23–24, 2021, Revised Selected Papers, Part II	Mayank Singh; Vipin Tyagi; P. K. Gupta; Jan Flusser; Tuncer Ören; V. R. Sonawane	1st ed. 2021	Springer International Publishing
Smart Farming System: Crop Yield Prediction Using Regression Techniques	Ayush Shah; Akash Dubey; Vishesh Hemnani; Divye Gala; D. R. Kalbande	Proceedings of International Conference on Wireless Communication: ICWiCom 2017	Hari Vasudevan; Amit A. Deshmukh; K. P. Ray	1st ed. 2018	Springer Nature Singapore
CYPUR-NN: Crop Yield Prediction Using Regression and Neural Networks	Sandesh Ramesh; Anirudh Hebbar; Varun Yadav; Thulasiram Gunta; A. Balachandra	Emerging Research in Computing, Information, Communication and Applications: ERCICA 2020, Volume 1	N. R. Shetty; L. M. Patnaik; H. C. Nagaraj; Prasad N. Hamsavath; N. Nalini	1st ed. 2022	Springer Nature Singapore
Advanced Rainfall Prediction Model for India Using Various Regression Algorithms	Parin Jigishu Shah; Devansh Hiren Timbadia; Sughosh Sudhanvan; Supriya Agrawal	Soft Computing for Problem Solving: Proceedings of SocProS 2020, Volume 2	Aruna Tiwari; Kapil Ahuja; Anupam Yadav; Jagdish Chand Bansal; Kusum Deep; Atulya K. Nagar	1st ed. 2021	Springer Nature Singapore
Crop Yield Prediction Using Deep Neural Networks	Saeed Khaki; Lizhi Wang	Smart Service Systems, Operations Management, and Analytics: Proceedings of the 2019 INFORMS International Conference on Service Science	Hui Yang; Robin Qiu; Weiwei Chen	1st ed. 2020	Springer International Publishing
Sequence Models for Crop Yield Prediction Using Satellite Imagery	M. Sarith Divakar; M. Sudheep Elayidom; R. Rajesh	Computational Vision and Bio-Inspired Computing: Proceedings of ICCVBIC 2021	S. Smys; João Manuel R. S. Tavares; Valentina Emilia Balas	1st ed. 2022	Springer Nature Singapore
Using regression for prediction		Regression Models for Data Science in R A companion book for the Coursera Regression Models class	Brian Caffo	2019	Leanpub
Prediction of Crop Production Using Analysis Algorithms	Arun Pratap Tomar; N. Nalini	Emerging Research in Computing, Information, Communication and Applications: ERCICA 2020, Volume 1	N. R. Shetty; L. M. Patnaik; H. C. Nagaraj; Prasad N. Hamsavath; N. Nalini	1st ed. 2022	Springer Nature Singapore
A Fuzzy-Based Support Vector Regression Framework for Crop Yield Prediction	Uduak Umoh; Daniel Asuquo; Imoh Eyoh; Abdultaofeek Abayomi; Emmanuel Nyoho; Helen Vincent	Soft Computing: Theories and Applications: Proceedings of SoCTA 2020, Volume 1	Tarun K. Sharma; Chang Wook Ahn; Om Prakash Verma; Bijaya Ketan Panigrahi	1st ed. 2022	Springer Nature Singapore
28 Crop Simulation Models for Yield Prediction		Chickpea Breeding and Management	S S Yadav; et al	2006	CABI
Prediction of Crop Yield Using Fuzzy-Neural System	Bindu Garg; Tanya Sah	EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing: BDCC 2018	Anandakumar Haldorai; Arulmurugan Ramu; Sudha Mohanram; Chow Chee Onn	1st ed. 2020	Springer International Publishing
CPU Performance Prediction Using Various Regression Algorithms	Abdullah Al Sefat; G. M. Rasiqul Islam Rasiq; Nafiul Nawjis; S. K. Tanzir Mehedi	Proceedings of International Conference on Machine Intelligence and Data Science Applications: MIDAS 2020	Manish Prateek; T. P. Singh; Tanupriya Choudhury; Hari Mohan Pandey; Nguyen Gia Nhu	1st ed. 2021	Springer Nature Singapore
Prediction Using Regression		Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python	Peter Bruce, Andrew Bruce, Peter Gedeck	2020	O'Reilly Media
Prediction using regression		Research methods for business	Joseph F. Hair	2007	John Wiley & Sons Ltd.
Crop Disease Prediction Using Multiple Linear Regression Modelling	Hudaa Neetoo; Yasser Chuttur; Azina Nazurally; Sandhya Takooree; Nooreen Mamode Ally	Soft Computing and its Engineering Applications: Third International Conference, icSoftComp 2021, Changa, Anand, India, December 10–11, 2021, Revised Selected Papers	Kanubhai K. Patel; Gayatri Doctor; Atul Patel; Pawan Lingras	1st ed. 2022	Springer International Publishing
Spatial Prediction of Agricultural Crop Yield	Paolo Postiglione; Roberto Benedetti; Federica Piersimoni	Agricultural Survey Methods	Roberto Benedetti; Federica Piersimoni; Marco Bee; Giuseppe Espa	2010	John Wiley & Sons
Using Regression Models for Prediction		Business Analytics, Global Edition	James Evans	2020	Pearson
Crop Yield Prediction Using Deep Learning in Mediterranean Region	Maroi Tsouli Fathi; Mostafa Ezziyyani; Mohammed Ezziyyani; Soumaya El Mamoune	Advanced Intelligent Systems for Sustainable Development (AI2SD’2019): Volume 2 - Advanced Intelligent Systems for Sustainable Development Applied to Agriculture and Health	Mostafa Ezziyyani	1st ed. 2020	Springer International Publishing
Corn Height Estimation Using UAV for Yield Prediction and Crop Monitoring	Flavio Furukawa; Kenji Maruyama; Youlia Kamei Saito; Masami Kaneko	Unmanned Aerial Vehicle: Applications in Agriculture and Environment	Ram Avtar; Teiji Watanabe	1st ed. 2020	Springer International Publishing
Crop Yield		Clean Water and Sanitation	Walter Leal Filho; Anabela Marisa Azul; Luciana Brandli; Amanda Lange Salvia; Tony Wall	1st ed. 2022	Springer International Publishing
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