"Crop Yield Prediction from Meteorological Data Using Efficient Machine Learning Model"

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Book	Author(s)	Year	Publisher
Practical Machine Learning for Data Analysis Using Python	Abdulhamit Subasi	2020	Academic Press
Modern Techniques for Agricultural Disease Management and Crop Yield Prediction	N. Pradeep, Sandeep Kautish, C.R. Nirmala	2019	Engineering Science Reference
Machine Learning for Microbial Phenotype Prediction	Roman Feldbauer	1st ed. 2016	Springer Fachmedien Wiesbaden
Conformal Prediction for Reliable Machine Learning	Vineeth Balasubramanian; Shen-Shyang Ho and Vladimir Vovk	2014	Morgan Kaufmann
Machine Learning Using R	Karthik Ramasubramanian; Abhishek Singh	1st ed.	Apress
Machine Learning using Python	Manaranjan Pradhan	2019	WILEY INDIA
Introducing Data Science: Big Data, Machine Learning, and More, using Python Tools	Davy Cielen; Arno D.B. Meysman; Mohamed Ali	2016	Manning Publications
Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques	Rik Das	2020	Routledge
Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning	Geeta Rani (editor), Pradeep Kumar Tiwari (editor)	2020	Medical Information Science Reference
Practical Simulations for Machine Learning: Using Synthetic Data for AI	Paris Buttfield-Addison, Mars Buttfield-Addison, Tim Nugent, Jon Manning	2022	O'Reilly Media
Machine Learning for Protein Subcellular Localization Prediction	Shibiao Wan; Man-Wai Mak	2015	De Gruyter
Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data	Ankur A. Patel	2019	O'Reilly Media
Document Processing Using Machine Learning	Sk Md Obaidullah; KC Santosh; Teresa Goncalves; Nibaran Das; Kaushik Roy	2019	Routledge
Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples	Sayan Mukhopadhyay	1st ed.	Apress
Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches	K. Gayathri Devi; Mamata Rath; Nguyen Thi Dieu Linh	2020	Routledge
Prediction and Analysis for Knowledge Representation and Machine Learning: Prediction and Analysis for Knowledge Representation and Machine Learning	Avadhesh Kumar; Shrddha Sagar; T. Ganesh Kumar; K. Sampath Kumar	2022	Routledge
Machine Learning and Data Mining	I. Kononenko and M. Kukar	2007	Woodhead Publishing
Knowledge-Guided Machine Learning: Accelerating Discovery Using Scientific Knowledge and Data	Anuj Karpatne; Ramakrishnan Kannan; Vipin Kumar	2022	Routledge
Big Data Analysis Using Machine Learning for Social Scientists and Criminologists	Juyoung Song	2019	Cambridge Scholars Publishing
Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient	Tanay Agrawal	1st ed.	Apress
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
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 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
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 Disease Prediction Using Computational Machine Learning Model	Rupali A. Meshram; A. S. Alvi	Intelligent Sustainable Systems: Proceedings of ICISS 2022	Jennifer S. Raj; Yong Shi; Danilo Pelusi; Valentina Emilia Balas	1st ed. 2022	Springer Nature Singapore
An Efficient Link Prediction Model Using Supervised Machine Learning	Praveen Kumar Bhanodia; Aditya Khamparia; Babita Pandey	Recent Studies on Computational Intelligence: Doctoral Symposium on Computational Intelligence (DoSCI 2020)	Ashish Khanna; Awadhesh Kumar Singh; Abhishek Swaroop	1st ed. 2021	Springer Nature Singapore
An Efficient Data Mining Algorithm for Crop Yield Prediction	H. V. Chaitra; Ramachandra; Chandani Sah; Saahithi Pradhan; Soundarya Kuralla; Vanitha Sree	Information and Communication Technology for Competitive Strategies (ICTCS 2020): Intelligent Strategies for ICT	M. Shamim Kaiser; Juanying Xie; Vijay Singh Rathore	1st ed. 2021	Springer Nature Singapore
Stress Prediction Model Using Machine Learning	Kavita Pabreja; Anubhuti Singh; Rishabh Singh; Rishita Agnihotri; Shriam Kaushik; Tanvi Malhotra	Proceedings of International Conference on Artificial Intelligence and Applications: ICAIA 2020	Poonam Bansal; Meena Tushir; Valentina Emilia Balas; Rajeev Srivastava	1st ed. 2021	Springer Nature Singapore
Performance Analysis on Machine Learning Algorithms with Deep Learning Model for Crop Yield Prediction	Supreetha A. Shetty; T. Padmashree; B. M. Sagar; N. K. Cauvery	Data Intelligence and Cognitive Informatics: Proceedings of ICDICI 2020	I. Jeena Jacob; Selvanayaki Kolandapalayam Shanmugam; Selwyn Piramuthu; Przemyslaw Falkowski-Gilski	1st ed. 2021	Springer Nature Singapore
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
Rice Yield Prediction Using On-Farm Data Sets and Machine Learning	Oscar Barrero; Sofiane Ouazaa; Camilo Ignacio Jaramillo-Barrios; Mauricio Quevedo; Nesrine Chaali; Sair Jaramillo et al.	Advances in Smart Technologies Applications and Case Studies: Selected Papers from the First International Conference on Smart Information and Communication Technologies, SmartICT 2019, September 26-28, 2019, Saidia, Morocco	Ali El Moussati; Kidiyo Kpalma; Mohammed Ghaouth Belkasmi; Mohammed Saber; Sylvain Guégan	1st ed. 2020	Springer International Publishing
Wheat Yield Prediction through Spectral Indices, Using Agro-Meteorological Data	Amanpreet Kaur Benipal; Anil Sood	Re-envisioning Remote Sensing Applications: Perspectives from Developing Countries	Ripudaman Singh	2021	Routledge
Smart Irrigation and Crop Yield Prediction Using Wireless Sensor Networks and Machine Learning	D. L. Shanthi	Recent Trends in Image Processing and Pattern Recognition: Second International Conference, RTIP2R 2018, Solapur, India, December 21–22, 2018, Revised Selected Papers, Part III	K. C. Santosh; Ravindra S. Hegadi	1st ed. 2019	Springer Nature Singapore
Crop Yield Prediction with Efficient Use of Fertilizers	S. M. Bharath; S. Manoj; Praveen Adhappa; Punit Laxman Patagar; R. Bhaskar	ICDSMLA 2020: Proceedings of the 2nd International Conference on Data Science, Machine Learning and Applications	Amit Kumar; Sabrina Senatore; Vinit Kumar Gunjan	1st ed. 2022	Springer Nature Singapore
Crop Management Using Machine Learning	J. Vakula Rani; Jakka Aishwarya; Kanuru Hamsini	Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2021	Asit Kumar Das; Janmenjoy Nayak; Bighnaraj Naik; Soumi Dutta; Danilo Pelusi	1st ed. 2022	Springer Nature Singapore
Crop Yield Prediction Using Weather Data and NDVI Time Series Data	Manisha Galphade; Nilkamal More; Abhishek Wagh; V. B. Nikam	Advances in Data Computing, Communication and Security: Proceedings of I3CS2021	Pankaj Verma; Chhagan Charan; Xavier Fernando; Subramaniam Ganesan	1st ed. 2022	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
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
Analysis and Prediction of Crop Infestation Using Machine Learning	A. Mohamed Inayath Hussain; K. R. Lakshminarayanan; Ravi Dhanker; Sriramaswami Shastri; Milind Bapu Desai	Sustainable Advanced Computing: Select Proceedings of ICSAC 2021	Sagaya Aurelia; Somashekhar S. Hiremath; Karthikeyan Subramanian; Saroj Kr. Biswas	1st ed. 2022	Springer Nature Singapore
Crop Price Prediction Using Machine Learning Naive Bayes Algorithms	R. Vikram; R. Divij; N. Hishore; G. Naveen; D. Rudhramoorthy	Ubiquitous Intelligent Systems: Proceedings of Second ICUIS 2022	P. Karuppusamy; Fausto Pedro García Márquez; Tu N. Nguyen	1st ed. 2022	Springer Nature Singapore
Crop Production Prediction Using Machine Learning: An Indian Perspective	Ashi Agrawal; Deepak Arora; Puneet Sharma	Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2020, Volume 3	João Manuel R. S. Tavares; Satyajit Chakrabarti; Abhishek Bhattacharya; Sujata Ghatak	1st ed. 2021	Springer Nature Singapore
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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