Monitoring and Impact Assessment of Farm Practices in Horticulture Crops with Digital Twins

Carbon sensitive agriculture along with organic practices have significant potential to reduce greenhouse gas emissions and global warming potential to counter the adverse effects of global warming and regulate soil health by sequestering carbon in soil. While this may require some restrictions in terms of practices to be followed, a well-calibrated approach would have a significant positive impact on the environment with minimal impact on yield. We propose a framework that could be configured to a farm context to synthesise crop-specific data and operations together with AI and process models to analyse the impact on yield, carbon-footprint and health. We validate it for few horticultural crops in Kharif 2022 and illustrate how continuous profiling of farm parameters from yield to impact of operations on carbon footprint could boost optimal resource utilisation to create a positive impact on the local environment as a first step towards a sustainable future in farming.