The same set of practices for crop cultivation, often unscientific, throughout the region

Imprecise application of fertilizers and pesticides throughout the field

Manual maintenance of all the field and finance data separately, leading to errors and data loss

Geo-tagging and zone detection are not possible

No reliable methods to predict the weather

Use of simple tools by farmers makes the process laborious and time-consuming

Each farm is analyzed to identify suitable crop varieties and input requirements for optimization and profitability

All farm data is centrally located on a digital platform

Early detection and application of inputs only in the affected region, saving costs

Uses satellite imagery to detect the different zones in farms

Reliable weather forecasts to maximize resource usage and minimize losses

Automation of tasks increases productivity and time- and cost-efficiency