R Shiny Dashboard for optimum cropping patterns

Cereals form a significant fraction of the agricultural produce in India. However, the current cropping patterns are far from optimum in terms of energy utilisation, protein generation, resilience in the face of climate vagaries and water consumption. To bridge this gap, the authors of “Assessing the sustainability of post-Green Revolution cereals in India” have used historical data on agricultural yield and irrigation to generate optimum cropping patterns for four cereals -Rice, Finger Millets, Pearl Millets and Sorghum, on a nationwide scale. These optimum patterns correspond to six objectives: maximising protein, and iron, minimizing energy demand, water consumption, and generation of greenhouse gases, and maximizing resilience.

In order to facilitate the adoption of these optimized patterns, the authors have envisioned a Shiny dashboard. Through a simple 3 step selection process, the dashboard presents the current and optimum statistics at the state and district levels. The user can select a region of interest, generate a custom cropping pattern and compare it with current and optimum scenarios.