"Prediction of Crop Yield Using Deep Learning Techniques: A Concise Review"

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Book	Author(s)	Year	Publisher
Modern Techniques for Agricultural Disease Management and Crop Yield Prediction	N. Pradeep, Sandeep Kautish, C.R. Nirmala	2019	Engineering Science Reference
Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques	Ramchandra S. Mangrulkar; Antonis Michalas; Narendra M. Shekokar; Meera Narvekar; Pallavi V. Chavan	2021	Routledge
Brain Tumor MRI Image Segmentation Using Deep Learning Techniques	Jyotismita Chaki	2021	Academic Press
Deep Learning Based Speech Quality Prediction	Gabriel Mittag	1st ed. 2022	Springer International Publishing
Network Intrusion Detection using Deep Learning: A Feature Learning Approach	Kwangjo Kim; Muhamad Erza Aminanto; Harry Chandra Tanuwidjaja	1st ed. 2018	Springer Nature Singapore
Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R	Taweh Beysolow II	1st ed.	Apress
Deep Learning Techniques for Music Generation	Jean-Pierre Briot; Gaëtan Hadjeres; François-David Pachet	1st ed. 2020	Springer International Publishing
Deep Learning with PyTorch 1. x: Implement deep learning techniques and neural network architecture variants using Python, 2nd Edition	Laura Mitchell, Sri. Yogesh K., Vishnu Subramanian	2019	Packt Publishing
Growth and Yield Prediction Systems	T.M. Thomson	1991	BC Ministry of Forests
Bankruptcy Prediction through Soft Computing based Deep Learning Technique	Arindam Chaudhuri; Soumya K Ghosh	1st ed. 2017	Springer Nature Singapore
Physiology and determination of crop yield	K. J. Boote	1994	American Society of Agronomy;Crop Science Society of America;Soil Science Society of America
Machine Learning and Deep Learning Techniques for Medical Science	K. Gayathri Devi; Kishore Balasubramanian; Le Anh Ngoc	2022	Routledge
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
Applied Deep Learning: Tools, Techniques, and Implementation	Paul Fergus; Carl Chalmers	1st ed. 2022	Springer International Publishing
Mathematical Models of Crop Growth and Yield	Allen R. Overman; Richard V. Scholtz III	2002	Routledge
Measurement and prediction of erosion and sediment yield	P. B. Allen	1981
Malware Analysis Using Artificial Intelligence and Deep Learning	Mark Stamp; Mamoun Alazab; Andrii Shalaginov	1st ed. 2021	Springer International Publishing
Spatial scale of crop-yield models: a review of the relationship between scale of models and accuracy	Bruce W. Strand	1981	U.S. Dept. of Agriculture, Economics and Statistics Service, Statistical Research Division
Watershed soil erosion, runoff, and sediment yield prediction using geographic information systems: a manual of GIS procedures	Jacek S. Blaszczynski	1994	U.S. Dept. of the Interior, Bureau of Land Management, BLM Service Center
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Prediction of Crop Yield Using Deep Learning Techniques: A Concise Review	Geetha Pratyusha Miriyala; Arun Kumar Sinha	Recent Advances in Computer Based Systems, Processes and Applications: Proceedings of Recent Advances in Computer based Systems, Processes and Applications (NCRACSPA-2019), October21-22, 2019	Anupama Namburu; Soubhagya Sankar Barpanda	2020	Routledge
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
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
523 Review of traffic prediction using deep learning techniques		Traffic Information and Control	Ruimin Li (editor), Zhengbing He (editor)	2021	Institution of Engineering and Technology
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
Traffic Flow Prediction Using Deep Learning Techniques	Shubhashish Goswami; Abhimanyu Kumar	Computing Science, Communication and Security: Third International Conference, COMS2 2022, Gujarat, India, February 6–7, 2022, Revised Selected Papers	Nirbhay Chaubey; Sabu M. Thampi; Noor Zaman Jhanjhi	1st ed. 2022	Springer International Publishing
An Empirical Study of Crop Yield Prediction Using Reinforcement Learning	M. P. Vaishnnave; R. Manivannan	Artificial Intelligence Techniques for Wireless Communication and Networking	R. Kanthavel; K. Anathajothi; S. Balamurugan; R. Karthik Ganesh	2022	John Wiley & Sons
Machine-learning approach to crop yield prediction	Vitali Díaz Mercado	Spatio-Temporal Characterisation of Drought: Data Analytics, Modelling, Tracking, Impact and Prediction	Vitali Diaz Mercado	2021	Routledge
Crop Yield Estimation Using Machine Learning	Nihar Patel; Deep Patel; Samir Patel; Vibha Patel	Soft Computing and its Engineering Applications: Second International Conference, icSoftComp 2020, Changa, Anand, India, December 11–12, 2020, Proceedings	Kanubhai K. Patel; Deepak Garg; Atul Patel; Pawan Lingras	1st ed. 2021	Springer Nature Singapore
A Concise Description of Deep Learning		Computational texture and patterns: From textons to deep learning	Dana, Kristin J	2018	Morgan & Claypool Publishers
A Concise Description of Deep Learning		Computational Texture and Patterns: From Textons to Deep Learning (Synthesis Lectures on Computer Vision)	Sven Dickinson (editor), Gerard Medioni (editor), Kristin J. Dana	2018	Morgan & Claypool Publishers
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
Oral Dental Diagnosis Using Deep Learning Techniques: A Review	Asmaa Elsayed; Hanya Mostafa; Reem Tarek; Kareem Mohamed; Abdelaziz Hossam; Sahar Selim	Medical Image Understanding and Analysis: 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27–29, 2022, Proceedings	Guang Yang; Angelica Aviles-Rivero; Michael Roberts; Carola-Bibiane Schönlieb	1st ed. 2022	Springer International Publishing
A Review of Breast Cancer Detection Using Deep Learning Techniques	Abhishek Das; Mihir Narayan Mohanty	Advances in Deep Learning for Medical Image Analysis	Archana Mire; Vinayak Elangovan; Shailaja Patil	2022	Routledge
A Concise Review of Acute Myeloid Leukemia Recognition Using Machine Learning Techniques	Ashwini P. Patil	Cyber Intelligence and Information Retrieval: Proceedings of CIIR 2021	João Manuel R. S. Tavares; Paramartha Dutta; Soumi Dutta; Debabrata Samanta	1st ed. 2022	Springer Nature Singapore
Crop Prediction Models—A Review	Supreeth S. Avadhani; Aashrith B. Arun; Varun Govinda; Juyin Shafaq Imtiaz Inamdar	Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2018, Volume 1	Ajith Abraham; Paramartha Dutta; Jyotsna Kumar Mandal; Abhishek Bhattacharya; Soumi Dutta	1st ed. 2019	Springer Nature Singapore
Deep Classification of Sound: A Concise Review	S. Bhattacharya; N. Das; S. Sahu; A. Mondal; S. Borah	Proceeding of First Doctoral Symposium on Natural Computing Research: DSNCR 2020	Varsha H. Patil; Nilanjan Dey; Parikshit N. Mahalle; Mohd Shafi Pathan; Vinod. V. Kimbahune	1st ed. 2021	Springer Nature Singapore
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
Crop Yield Prediction from Meteorological Data Using Efficient Machine Learning Model	Huma Khan; S. M. Ghosh	Proceedings of International Conference on Wireless Communication: ICWiCOM 2019	Hari Vasudevan; Zoran Gajic; Amit A. Deshmukh	1st ed. 2020	Springer Nature Singapore
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
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