Application Of Machine Learning Models In Agricultural And Meteorological Sciences
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Application of Machine Learning Models in Agricultural and Meteorological Sciences
This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are explained in this book. The models of the current book help better agriculture and irrigation management. The models of the current book are valuable for meteorological organizations. Meteorological and agricultural variables can be accurately estimated with this book's advanced models. Modelers, researchers, farmers, students, and scholars can use the new optimization algorithms and evolutionary machine learning to better plan and manage agriculture fields. Water companies and universities can use this book to develop agricultural and meteorological sciences. The details of the modeling process are explained in this book for modelers. Also this book introduces new and advanced models for predicting hydrological variables. Predicting hydrological variables help water resource planning and management. These models can monitor droughts to avoid water shortage. And this contents can be related to SDG6, clean water and sanitation. The book explains how modelers use evolutionary algorithms to develop machine learning models. The book presents the uncertainty concept in the modeling process. New methods are presented for comparing machine learning models in this book. Models presented in this book can be applied in different fields. Effective strategies are presented for agricultural and water management. The models presented in the book can be applied worldwide and used in any region of the world. The models of the current books are new and advanced. Also, the new optimization algorithms of the current book can be used for solving different and complex problems. This book can be used as a comprehensive handbook in the agricultural and meteorological sciences. This book explains the different levels of the modeling process for scholars.
The Role of Artificial Intelligence in Advancing Applied Life Sciences
The transformative role of artificial intelligence (AI) is revolutionizing the life sciences sector. AI is being used to accelerate drug discovery, personalize treatments, and improve patient outcomes. AI has demonstrated its potential in optimizing crop yields, enhancing food safety, and addressing global food security challenges. Additionally, AI has applications in climate modeling, species conservation, and pollution monitoring. Discussion of AI implementation in life sciences may stimulate further research and development in AI-driven life science solutions. The Role of Artificial Intelligence in Advancing Applied Life Sciences equips readers with a solid understanding of technology's potential to address complex life science problems. It also discusses the ethical implications and challenges associated with AI implementation in this field. Covering topics such as biomanufacturing, disease identification, and climate change patters, this book is an excellent resource for life scientists, computer scientists, healthcare practitioners, environmentalists, agriculturalists, professionals, researchers, scholars, academicians, and more.
Innovation of Multidisciplinary Research in Present and Future Time (Volume-5)
Author: Chief Editor (Author)- Biplab Auddya, Editor- Dhodi Sachin Kisan, Mrs. Pritam Vikas Maral, Dr. Ruma Bhadauria, Dr. Anirban Hazra, Mr. Neelanjan Mitra, Dr. Devimeenakshi. K., Dr. Sudipta Sil
language: en
Publisher: The Hill Publication
Release Date: 2023-05-29
Multidisciplinary Research / Approach /Subject/Education is a unique part of education. By this education students learn and collect knowledge/ideas from different disciplines. The present book volume is based on the Multidisciplinary Research and introduces on different important topics by research paper contributors like: IMPORTANCE OF RESEARCH IN MEDICAL EDUCATION, Women Empowerment and Gender Justice, APPLICATION OF STATISTICS IN BUSINESS, Developmental Toxicity and Gene Expression changes in Buenos Aires Tetra, Hemigrammus caudovittatus exposed to Chlorpyrifos, Crop Yield Prediction Using Data Science: Techniques and Applications, Dynamics of Social Engineering and Development, PERSONALITY TRAITS AMONG CONTACT AND NON-CONTACT PLAYERS, Tracing the Philosophical Footing of Abhinav India, A Smart Solid Waste Management in Smart Cities, Education: The Potential instrument of Poverty alleviation, Social status of women in Kashmir valley, EMPLOYEE RETENTION & DEVELOPMENT: A STRATEGIC ASSESSMENT ON GRUHA LAKSHMI FOOD INDUSTRIES IN KADAPA DISTRICT AT ANDHRA PRADESH, IMPACT OF AI ON RECRUITMENT AND SELECTION. Thanks to The Hill Publication, all Editors and all Research Paper Contributors of this Book {Innovation of Multidisciplinary Research in Present and Future Time (Volume-5}.