Harvesting Innovation in Agriculture through IoT and Blockchain Technology
Abstract
Innovative technologies like IoT and blockchain transform businesses and other agricultural work. Emerging technologies like artificial intelligence and big data have unlocked new possibilities for operational efficiency and achieved the highest level of productivity through informed decision-making. Using the Internet of Things technologies, sensors transmit real-time data regarding the environment's state, crops' growth, and animals' well-being. Consequently, the information they gain facilitates them in making better decisions, where resources can be utilized to their maximum and output raised without compromising waste. Blockchain technology provides a solution for building agricultural supply chains with integrity and transparency. In this chapter, we explore how integrating blockchain technology with IoT in agriculture can unlock unexplored proficiency, sustainability, and robustness. It utilizes case studies and examines innovative irrigation systems, crop monitoring, and animal management applications. This chapter will explore the various methods of data collection from Internet of Things sensors to analyze and gain insight for more accurate decisionmaking processes. By examining the data accumulated over several years, business management can develop goals that aim to improve production measures, such as efficiency and effectiveness. The analysis of various aspects of the agricultural industry and the application of blockchain technology demonstrates how it can improve processes by streamlining operations and making the industry more transparent. It examines the identification and effectiveness of data-driven decisions in crop management. The yield data analysis from production is the basis for continuing the growth of the agricultural industry.
Fields of Study & Subjects
Smart Agriculture and AI
Blockchain Technology Applications and Security
Internet of Things and AI
Publication details
- Journal / source
- BENTHAM SCIENCE PUBLISHERS eBooks
- Pages
- 1–25
- Publication date
- 14 January 2026
- Document type
- Book chapter