Advancement of Digital Twin in Irrigation and Smart Farming
Chiranjeet Barkakoti, Sujata Joshi
Abstract
Agriculture and food production has been immensely impacted by digitalization; paving the way for advanced data processing techniques and technologies possible in the field of agriculture. The aim of Smart farming is to extract information from agricultural entities to resolve issues and challenges faced with regard to rising demand, food security, and climate change. Digital Twin is a concept that has the potential to increase production and efficiency while reducing the use of energy and other materials. The potential for digital twins to succeed in sustainable agriculture is enormous. Since the agriculture sector is dynamic and complicated, it needs an advanced management system. The necessity for automatic and self-reliant agriculture set up at the initial level is critical due to the frequent occurrence of natural disasters like floods and diseases. Due to problems with soil-based systems such as erosion, heavy manual labor, water availability, and productivity issues, soilless agriculture is becoming more and more popular. Digital techniques are expected to increase the optimization of processes and assist in agricultural decision-making.