Provides IoT-enabled soil moisture sensors and a SaaS platform for real-time soil and weather monitoring, tailored for professional crop and orchard growers. This system reduces over-irrigation, under-irrigation, and resource waste by delivering precise data for optimized irrigation scheduling, crop yield forecasting, and field management.
Funding
Funding not disclosed
Founders
Product
Problem
Growers often lack real-time, granular data on soil moisture and weather conditions at the field level, leading to inefficient irrigation practices. Over-irrigation results in wasted water, root rot, and increased costs, while under-irrigation can reduce crop yield and weaken plant growth. Relying on distant weather stations and manual checks leads to inconsistent irrigation and suboptimal resource allocation.
Solution
Droppity provides an IoT-enabled soil moisture sensor and a farm management software platform that delivers hyperlocal, real-time data to optimize irrigation scheduling and resource management for crop and orchard growers. The system combines in-field soil moisture monitoring with weather data to provide insights into water availability for crops. By integrating soil moisture levels, weather forecasts, and operational planning tools, Droppity enables growers to make informed decisions, reduce water waste, and improve crop yields. The platform also includes features for field scouting, NDVI satellite imagery analysis, and yield forecasting, providing a comprehensive solution for precision agriculture.
Target Audience
The primary target audience includes professional crop and orchard growers seeking to optimize irrigation, reduce resource waste, and improve crop yields through data-driven insights.
Features
- Wireless soil moisture sensors providing real-time data on soil water content
- Hyperlocal weather monitoring, delivering field-specific weather data
- Agro operations planning tools, allowing users to adjust field operations based on weather forecasts
- Field scouting tool for digital field journaling with photo uploads and geotagging
- NDVI satellite imagery integration for tracking vegetation growth
- Yield forecasting models that leverage water data to predict crop harvest
- Mobile app for remote monitoring and control
- Durable sensor design suitable for all seasons with long-lasting battery