The agricultural sector faces a set of global challenges such as population growth, climate change, lack of transparency in the supply chain, and data fragmentation. These factors have led to reduced productivity, increased resource waste, and weakened trust in interactions between farmers, consumers, and government institutions. The use of new technologies such as the Internet of Things (IoT), artificial intelligence (AI), and blockchain can provide a new solution to improve traceability, data-driven decision-making, and automation of agricultural processes. However, barriers such as high energy consumption, lack of appropriate infrastructure in rural areas, privacy concerns, and low technological literacy among farmers have prevented the widespread implementation of these technologies. This article aims to examine the capabilities of blockchain technology in response to these challenges. It provides a structured solution for integrating blockchain with IoT and AI-based systems in the context of low-infrastructure organic farms. This framework provides mechanisms for secure data recording, real-time analysis of farm conditions, issuance of digital organic certification, and retention of farmer data ownership that are specifically tailored to the constraints of rural environments. This model provides a practical and sustainable model for the deployment of emerging technologies in agriculture in developing countries.