The agricultural sector is a source of food, clean water, and natural medicine, which is very important for human life. Agricultural problems need to be handled by the massive use of robotics and artificial intelligence technology along the agricultural value chain from upstream to downstream (from land to consumer) with the help of satellites and drones for remote sensing. Precision Agriculture is a system where input, process, and output parameters are measured and controlled precisely and accurately to produce efficient and productive agriculture. This paper aims to present the applications of Internet of Things (IoT) and blockchain technology in Indonesia's agriculture. Three case studies and conceptual designs are presented, i.e., IoT and machine learning for quality monitoring of mango in long-distance transportation, IoT and blockchain application for logistics and supply chain system of melon, and IoT application in Smart Algae Pond for microalgae biomass production.
Keywords: agriculture, blockchain, Indonesia, Internet of Things, machine learning
The agricultural sector is a source of food, clean water, and natural medicine, which is very important for human life. Agricultural problems need to be handled by the massive use of robotics and artificial intelligence technology along the agricultural value chain from upstream to downstream (from land to consumer) with the help of satellites and drones for remote sensing. Precision Agriculture is a system where input, process, and output parameters are measured and controlled precisely and accurately to produce efficient and productive agriculture. This paper aims to present the applications of Internet of Things (IoT) and blockchain technology in Indonesia's agriculture. Three case studies and conceptual designs are presented, i.e., IoT and machine learning for quality monitoring of mango in long-distance transportation, IoT and blockchain application for logistics and supply chain system of melon, and IoT application in Smart Algae Pond for microalgae biomass production.
Keywords: agriculture, blockchain, Indonesia, Internet of Things, machine learning