Advancing Sustainable Agriculture Through Artificial Intelligence: Harvesting Greener Future
Artificial intelligence (AI); Conventional farming; Internet of Things (IoT); Sustainable agriculture, Smart technologies, Technological advancements
The growing population of the globe is expected to reach 10 billion by 2050. Its demands have led to widespread food insecurities and hunger, which conventional farming failed to address. To meet such a grim scenario, the United Nations drafted the Sustainable Development Goals (SDGs) to end hunger (SDG 2), promote sustainable consumption and production (SDG 12), and promote life on land (SDG 15). To achieve these goals, the global farming system needs to make a substantial transition by adopting alternative methods and approaches. The concept of sustainable agriculture is an integrated system of animal and plant production practices to satisfy human food and fiber requirements. It enhances environmental quality, efficient use of energy resources, economic viability of farm operation, and quality of life of farmers and society. It has emerged as a viable alternative to meet such goals. Sustainable agriculture practice incorporates the true spirit of the abovementioned SDGs by combining the aspirations of the present and future generations. Smart technologies, which include the use of robotics, intelligent sprayers, satellite drones, Internet of Things (IoT) devices, and climate sensors, appear as supplementary tools for sustainable agriculture to mitigate the accelerated demands of food across the globe. The advancement of artificial intelligence (AI)/IoT technologies has the potential to monitor the agricultural environment to ensure high-quality products. According to the World Economic Forum (WEF), the integration of AI into the farming sector can provide an adequate food supply to the people. Such integration of smart technologies with sustainable agriculture has significant advantages for the world in achieving sustainable development goals. However, smart technologies are not free from challenges due to their novelty, complications related to the control and operation of IoT/AI machines, data sharing and management, interoperability and large amounts of data ownership, analysis, and storage. Keeping in view the above, this chapter explores the integration and interaction of AI-enabled smart technologies and smart agriculture analysing key challenges involved in this regard. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
Pandey, Ananya; Joseph, Jipson; Mishra, Achyutananda
Artificial Intelligence Enabled Real Time Environmental Monitoring;pp.19-41
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https://doi.org/10.1007/978-981-95-3767-9_2 https://www.scopus.com/pages/publications/105037782759?origin=resultslist
Pandey A., School of Law, Christ University, Karnataka, Bangalore, India; Joseph J., School of Law, Christ University, Karnataka, Bangalore, India; Mishra A., School of Law, Christ University, Karnataka, Bangalore, India