Books/Book Chapters/Edited Books
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Item A Comprehensive Analysis of Vulnerabilities and Cybersecurity Issues for Digital Agriculture and Food Industry(Taylor & Francis CRC Press, 2025) Gausiya Yasmeen, Syed Adnan Afaq, Saman UzmaThe foundation of practically all countries in the globe is agriculture. Every cycle's area, from jobs to satiating food needs, is affected. The world's population is expanding more swiftly, which necessitates feeding more stomachs. To fulfill the growing demand for food, smart technology like IoT – Internet of Things – is already being applied in agriculture. Due to the widespread use of IoT technologies, virtually every sector of the economy, including food and agriculture, is also affected by digital transformation. Smart gadgets are routinely utilized by an extensive throng, including farmers and business owners. Such kinds of instruments are utilized in varied ways, from employing drones to assist with tasks like pesticide spraying to continuously nursing the health of harvests and the humidity content of the soil. The advantages of smart agriculture are immense; the condition of soil and seed traits can be observed using smart data, and new technology can provide conveniences never before possible while also enhancing the management and standard of agricultural farming. The advancement of agriculture to smart farming has resulted in an increase in cyber threats. Smart farming ecosystems are, however, exposed to a variety of cybersecurity threats and vulnerabilities due to the employing of IoT and smart communication technologies. Ransomware is the cyberattack that affects the food industry the most frequently right now. Such hacks may cause economic instability in countries that heavily rely on agriculture. As per reports food inflation has risen up to 4.5% which was earlier 3% in the year 2023. Moreover, this year was declared “El Nino” which can result in growth of the hunger index in poor nations. So, modern cultures' food supply chains are essential components. It employs network connections and is fully digitalized, just like other facets of life. Nevertheless, the widespread practice of technical know-how comes with built-in security dangers and weaknesses, and both industries are now under more scrutiny than ever. The chapter presents a complete study on the protection and confidentiality related to food industries and agriculture sector data.Item AI-Based Forecasting and Decision Support System for Plantation Crops(Rubicon Publications, London, UK, 2025) Nitish Kumar, Sanket KumarThis chapter discusses the application of Artificial Intelligence (AI) and decision support systems in plantation crop management. It highlights the integration of machine learning models, predictive analytics, climate data analysis, and digital advisory tools to enhance forecasting accuracy, improve crop productivity, optimize resource use, and support climate-resilient plantation systems. The chapter emphasizes smart agriculture approaches for sustainable plantation crop development.Item The Future of Farming: How AI Enhances Crop Yield and Sustainability(Agri Magazine (Online International E-Magazine), 2025) Muchapothula Shiva Prasad, Mamta J. Patange, Dr. Shubhangi J. Dhage, Shabbeer Ahmad, Aman KumarThis article explores how Artificial Intelligence (AI) is transforming agriculture by improving crop yields, optimizing resource use, and enhancing sustainability. It highlights AI applications such as robotic automation, drones, machine learning, precision farming, predictive analytics, and genetic innovations. The article further discusses real-world success stories in AI adoption, identifies major challenges including technological gaps, social barriers, high costs, and data privacy concerns, and proposes solutions through policy reforms, training, and infrastructure development. The future of AI-powered farming includes smart seeds, advanced robots, blockchain-based supply chains, and climate-resilient decision systems.
