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4 books on AI for Agriculture [PDF]
Updated: February 27, 2024 | 26 |
Books dedicated to AI for agriculture are invaluable assets for startups venturing into the development of AI solutions tailored for the agricultural sector. These texts delve into the applications of artificial intelligence in precision agriculture, crop monitoring, disease detection, yield prediction, and resource optimization, offering startups a comprehensive understanding of the challenges and opportunities within the agriculture industry.
1. IoT and AI in Agriculture: Self- sufficiency in Food Production to Achieve Society 5.0 and SDG's Globally
2023 by Tofael Ahamed
This book examines recent advancements in the realm of smart agriculture, where the Internet of Things (IoT) and sensor technologies are harnessed to implement Artificial Intelligence (AI) solutions aimed at enhancing agricultural productivity in key agricultural regions. Notably, South and Southeast Asia, as significant agricultural hubs, face formidable challenges posed by climate change and the imperative to sustainably feed their rapidly expanding populations. To address these challenges effectively, a collaborative, cross-border approach leveraging AI and big data for bioinformatics becomes essential. This approach seeks to bolster crop yields while minimizing losses before and after harvest in variable climatic conditions, aligning with the Sustainable Development Goal (SDG) of providing nourishment to a substantial portion of the anticipated 9 billion global population by 2050. Consequently, this book focuses on IoT and AI-driven solutions for agriculture, encompassing aspects such as pest management and the optimization of agricultural inputs, including light, water, fertilizers, and pesticides, for both indoor and outdoor crop cultivation. By ensuring food security while upholding environmental sustainability, this book lays the foundation for developing new insights and knowledge. It underscores the importance of comprehensive research and educational initiatives aimed at deploying miniature sensors, AI/Machine Learning (ML) techniques, controlled Unmanned Aerial Vehicles (UAVs), and IoT systems to facilitate the collection, processing, and storage of data over cloud platforms. These technologies play a pivotal role in advancing and accelerating the adoption of smart agriculture in our present era.
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2. Innovation in Agriculture with IoT and AI
2022 by Suchismita Satapathy, Debesh Mishra, Arturo Realyvásquez Vargas
This book delves into the realm of global agricultural systems and their innovative transformations, leveraging cutting-edge technologies such as artificial intelligence (AI), the Internet of Things (IoT), and machine learning (ML) to benefit farming communities worldwide. It explores a range of advancements, including the utilization of agricultural machinery and IoT devices to alleviate physical strain, the introduction of innovative equipment designed to gauge and alleviate mental workloads, and pioneering techniques aimed at enhancing employee safety. With the inclusion of insightful case studies and forward-looking considerations, this book serves as a valuable resource for academics and researchers engaged in the agricultural sector, offering a comprehensive exploration of these transformative developments.
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3. The Digital Agricultural Revolution: Innovations and Challenges in Agriculture through Technology Disruptions
2022 by Roheet Bhatnagar, Nitin Kumar Tripathi, Nitu Bhatnagar, Chandan Kumar Panda
This book seamlessly integrates computational intelligence, applied artificial intelligence, and contemporary agricultural methodologies, making it a valuable resource for scientists, agriculturists, and professionals in plant and crop science management. In response to the pressing challenges posed by climate change, such as increasing temperatures, unpredictable rainfall patterns, the emergence of new crop pests, and extreme weather events like droughts and floods, there is a critical need to synergize cutting-edge scientific innovations in artificial intelligence with the field of agriculture. This volume presents a comprehensive exploration of high-quality research, encompassing both theory and practical applications, including prototypes, conceptual frameworks, real-world implementations, policy considerations, standards, psychological aspects, case studies, and insightful surveys. It offers insights into recent advances that have catalyzed the digital agricultural revolution, driven by the convergence of disruptive technologies. The book covers a wide range of topics that have revolutionized agricultural practices, spanning applications of Artificial Intelligence in Agriculture, AI models and architectures, system design, real-world applications of AI, machine learning and deep learning in agriculture, as well as the integration and coordination of systems, along with associated issues and challenges.
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4. Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide
2021 by Chandrasekar Vuppalapati
This book delves into the realm of machine learning and artificial intelligence (AI) as applied to agricultural economics, with a strong focus on making these advanced analytical and predictive capabilities accessible to small-scale farmers across the globe. Its primary objective is to equip data science and software engineering teams with the knowledge and tools required to harness economic models for the development of life-improving applications. The volume not only introduces fundamental agricultural economic principles but also emphasizes their integration into the realm of comprehensive software development, with a particular emphasis on creating unique and impactful products. Its chapters explore various agricultural economic and AI reference architectures, highlighting key aspects such as data integration, algorithm design, regression analysis, prognostic model development, and mathematical optimization. By adapting traditional AI software development paradigms to thrive in the dynamic landscape of agriculture and economics, this book will prove invaluable to researchers, students, engineers, and industry professionals in agricultural economics, data science, engineering, and machine learning across both public and private sectors.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. IoT and AI in Agriculture: Self- sufficiency in Food Production to Achieve Society 5.0 and SDG's Globally
2023 by Tofael Ahamed
This book examines recent advancements in the realm of smart agriculture, where the Internet of Things (IoT) and sensor technologies are harnessed to implement Artificial Intelligence (AI) solutions aimed at enhancing agricultural productivity in key agricultural regions. Notably, South and Southeast Asia, as significant agricultural hubs, face formidable challenges posed by climate change and the imperative to sustainably feed their rapidly expanding populations. To address these challenges effectively, a collaborative, cross-border approach leveraging AI and big data for bioinformatics becomes essential. This approach seeks to bolster crop yields while minimizing losses before and after harvest in variable climatic conditions, aligning with the Sustainable Development Goal (SDG) of providing nourishment to a substantial portion of the anticipated 9 billion global population by 2050. Consequently, this book focuses on IoT and AI-driven solutions for agriculture, encompassing aspects such as pest management and the optimization of agricultural inputs, including light, water, fertilizers, and pesticides, for both indoor and outdoor crop cultivation. By ensuring food security while upholding environmental sustainability, this book lays the foundation for developing new insights and knowledge. It underscores the importance of comprehensive research and educational initiatives aimed at deploying miniature sensors, AI/Machine Learning (ML) techniques, controlled Unmanned Aerial Vehicles (UAVs), and IoT systems to facilitate the collection, processing, and storage of data over cloud platforms. These technologies play a pivotal role in advancing and accelerating the adoption of smart agriculture in our present era.
Download PDF
2. Innovation in Agriculture with IoT and AI
2022 by Suchismita Satapathy, Debesh Mishra, Arturo Realyvásquez Vargas
This book delves into the realm of global agricultural systems and their innovative transformations, leveraging cutting-edge technologies such as artificial intelligence (AI), the Internet of Things (IoT), and machine learning (ML) to benefit farming communities worldwide. It explores a range of advancements, including the utilization of agricultural machinery and IoT devices to alleviate physical strain, the introduction of innovative equipment designed to gauge and alleviate mental workloads, and pioneering techniques aimed at enhancing employee safety. With the inclusion of insightful case studies and forward-looking considerations, this book serves as a valuable resource for academics and researchers engaged in the agricultural sector, offering a comprehensive exploration of these transformative developments.
Download PDF
3. The Digital Agricultural Revolution: Innovations and Challenges in Agriculture through Technology Disruptions
2022 by Roheet Bhatnagar, Nitin Kumar Tripathi, Nitu Bhatnagar, Chandan Kumar Panda
This book seamlessly integrates computational intelligence, applied artificial intelligence, and contemporary agricultural methodologies, making it a valuable resource for scientists, agriculturists, and professionals in plant and crop science management. In response to the pressing challenges posed by climate change, such as increasing temperatures, unpredictable rainfall patterns, the emergence of new crop pests, and extreme weather events like droughts and floods, there is a critical need to synergize cutting-edge scientific innovations in artificial intelligence with the field of agriculture. This volume presents a comprehensive exploration of high-quality research, encompassing both theory and practical applications, including prototypes, conceptual frameworks, real-world implementations, policy considerations, standards, psychological aspects, case studies, and insightful surveys. It offers insights into recent advances that have catalyzed the digital agricultural revolution, driven by the convergence of disruptive technologies. The book covers a wide range of topics that have revolutionized agricultural practices, spanning applications of Artificial Intelligence in Agriculture, AI models and architectures, system design, real-world applications of AI, machine learning and deep learning in agriculture, as well as the integration and coordination of systems, along with associated issues and challenges.
Download PDF
4. Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide
2021 by Chandrasekar Vuppalapati
This book delves into the realm of machine learning and artificial intelligence (AI) as applied to agricultural economics, with a strong focus on making these advanced analytical and predictive capabilities accessible to small-scale farmers across the globe. Its primary objective is to equip data science and software engineering teams with the knowledge and tools required to harness economic models for the development of life-improving applications. The volume not only introduces fundamental agricultural economic principles but also emphasizes their integration into the realm of comprehensive software development, with a particular emphasis on creating unique and impactful products. Its chapters explore various agricultural economic and AI reference architectures, highlighting key aspects such as data integration, algorithm design, regression analysis, prognostic model development, and mathematical optimization. By adapting traditional AI software development paradigms to thrive in the dynamic landscape of agriculture and economics, this book will prove invaluable to researchers, students, engineers, and industry professionals in agricultural economics, data science, engineering, and machine learning across both public and private sectors.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
