Futuristic Technologies in Agriculture Challenges and Future Prospects
Upinder Kaur, Manjit Kaur, Alex Khang
Abstract
Futuristic technologies are transforming the agricultural landscape, enabling farmers to optimize crop yields, reduce environmental impact, and improve the efficiency of their operations. From precision farming and machine learning to genetic engineering and blockchain, these technologies offer new opportunities for farmers to address long-standing challenges and drive sustainable growth. This chapter addresses the potential upsides and downsides of using cutting-edge technology in agriculture. Specifically, it focuses on the benefits of federated learning collaborated with machine learning, deep learning, IoT, etc. in precision farming, smart agriculture, disease diagnosis, UAVs, yield prediction, and sustainable agriculture. This analysis is the first of its kind in this field, covering all available papers in WoS, Scopus, and Research Gate up to 2023. The development of specialized solutions requires a cooperative strategy in order to fully reap the advantages of these advances.