Smart agriculture is an approach to maintaining nature without compromising the basic needs of future generations, while at the same time improving the efficiency of farming. The main achievements of smart agriculture in terms of sustainable agriculture are crop rotation, controlling nutrient deficiencies in crops, pest and disease control, recycling, and water harvesting, leading to a safer environment overall. Living organisms depend on the nature of biodiversity and are exposed to pollution due to waste emissions, use of fertilizers and pesticides, degraded dead plants, etc. The emission of greenhouse gases affects plants, animals, humans and the environment; hence, this necessitates a better environment for living organisms
The purpose of this book is to provide a comprehensive overview of the latest advancements, challenges, and potential applications of Artificial Intelligence (AI) technology and the Internet of Things (IoT) in the future of intelligent agriculture. The book is primarily focused on equipping younger researchers, graduates, and professionals in the industry with the necessary knowledge to understand the advantages of artificial intelligence technology, machine learning, and data analytics methods in improving current agricultural practices.
Key features include:
The book showcases the latest advancements in AI and smart agriculture technologies,
The text emphasizes sustainable practices supported by AI, highlighting how technology can enhance productivity while minimizing environmental impact.
Readers will learn how to harness big data and analytics to drive informed decision-making and optimize their agricultural yields
1. Smart Farming: An IoT-Enhanced and Interpretable Optimal Crop Selection Technique Based on Soil and Environmental Data Al Amin Islam Ridoy, AKM Bahalul Haque, Farzana Akter , and Mourade Azrour
2. Enhanced Date Palm Seed Classification Using Genetic Algorithms and XGBoost
Abdelaaziz Hessane ,Mohamed Khalifa Boutahir , Ahmed El Youssefi , Yousef Farhaoui , and Badraddine Aghoutane
3. Internet of Things Based Precision Agriculture with Integrated Security for Smart Farming
Md. Alimul Haque, Sultan Ahmad, Deepa Sonal, Aasim Zafar, and Aleem Ali
4. Dynamic Texture Classification using ConvLSTM and Video Optical Flow Analysis: A Case Study
Manal Benzyane, Mourade Azrour, Said Agoujil, and Azidine Guezzaz
5. Digital Guardians: Revolutionizing Pest Management with AI and IoT for a Greener Future
Sreedeep Dey and Subhasis Roy
6. The Artificial Intelligence: Technological Revolution for Moroccan Agriculture
Hajar Khabouche, Miloudia Slaoui, and Jamal Mabrouki
7. Utilizing IoT and AI for Soil Health Monitoring and Enhancement in Sustainable Agriculture
Sultan Ahmad, Rupesh Kaushik, Rohit Ghatuary, Amit Kotiyal, Sapna Jarial, and Rajneesh Kumar
8. Leveraging IoT for Wildlife Deterrence: Smart Solutions for Crop Protection in Modern Farming
Md. Alimul Haque, Deepa Sonal, Sultan Ahmad, and Hikmat A. M. Abdeljaber
9. Advancing Water Quality Assessment through Artificial Intelligence Techniques
Anas Kabbori, Azidine Guezzaz, Said Benkirane, and Mourade Azrour
10. Aspects of IoT based applications intended for transforming world at large scale
Shafqat Ul Ahsaan, Ashish Kumar Mourya, and Seema Rani
11. Smart Agro-Tech: Using IoT-Powered Intelligence and Sustainable AI Solutions to Revolutionize Crop Management
Shivani Bhardwaj, Gauarv Gupta, Abhishek Tomar, Mukesh Tiwari, Sultan Ahmad, and Mourade Azrour
12. Introduction to smart agriculture using IoT
K.A. Vinodhini, T. Anstey Vathani, K.A. Varun Kumar, M.J. Carmel Mary Belinda, and Mourade Azrour
13. Deep Feature Extraction: Comparing VGG16, ResNet50, and InceptionV3 for Image Matching
Omaima El bahi, Ali Omari Alaoui, Youssef Qaraai, and Ahmad El Allaoui
14. The Future of Farming: AI, ML, and IoT for Improved Crop Yields
Shagufta Praveen and Mazhar Afzal
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