Artificial Intelligence Applications in Agricultural Sustainability

Author:

Othmeni Imed1,Ben Abdallah Rim1,Ben Aribi Hiba1ORCID,Ben Amara Eya1ORCID,Fattouch Sami1

Affiliation:

1. National Institute of Applied Sciences and Technology, Tunisia

Abstract

Agriculture plays a crucial role in addressing global challenges such as food security, resource scarcity, and climate change. As the world population continues to grow, the need for sustainable and efficient farming practices becomes paramount. This chapter aims to explore the applications of artificial intelligence (AI) in agricultural sustainability, focusing on how AI technologies can enhance efficiency and resilience in agricultural practices. The chapter provides an overview of the potential benefits and challenges of integrating AI into agriculture, highlighting specific use cases, and discussing the implications for sustainable farming systems. It also examines the role of AI in addressing key sustainability issues including resource management, yield optimization, pest control, and adaptation to environmental conditions. By examining current trends and advancements in AI for agriculture, this chapter contributes to a comprehensive understanding of how AI can revolutionize farming practices and promote sustainable agricultural systems.

Publisher

IGI Global

Reference73 articles.

1. Dynamic Neural Network Modelling of Soil Moisture Content for Predictive Irrigation Scheduling

2. The effects of knowledge transfer on farmers decision making toward sustainable agriculture practices

3. Agrovision. (n.d.). Retrieved from www.agrovision.com

4. Application of planning models in the agri-food supply chain: A review

5. Amara, J., Bouaziz, B., & Algergawy, A. (2017). A Deep Learning-based approach for Banana Leaf Diseases Classification. Academic Press.

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1. Monitoring Environmental Performance of Agricultural Supply Chains Using Internet of Things;Integrating Intelligence and Sustainability in Supply Chains;2023-10-04

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