Skip to content
  • Home
  • About Us
  • Functions
  • Benefits
  • Work
  • Case Studies
  • Events
  • Resources
    • Media Coverage
    • Podcast
    • Policy Papers
    • Partners
  • Contact Us
Menu
  • Home
  • About Us
  • Functions
  • Benefits
  • Work
  • Case Studies
  • Events
  • Resources
    • Media Coverage
    • Podcast
    • Policy Papers
    • Partners
  • Contact Us
Linkedin Twitter Youtube Instagram

Home

Case Studies

Weather forecast bulletin for farming?

Weather forecast bulletin for farming?

Sector: Agriculture

Area: Weather Forecasting for Farming

Status: Active

Country: USA

Problem

Agromet advisories are issued to combat extreme weather conditions events and help farmers take immediate decisions on harvesting, draining out excess water and other rejuvenation measures. However, there was no application which could track more than 40 weather and plant measurements to give deeper visibility into climate variability, crop health, and the decisions they need to factor into, such as event timing and irrigation. The Arable App fills this gap.

Solution

• To have devices thatto collect and synthesize in-field climate and plant data to produce actionable insights in all growing conditions.
• The solution uses a robust sensor suite with, rugged durability, and cutting-edge global cellular connectivity.
• Machine learning is used to provide deeper insight to climate variability, crop health, etc. by tracking more than 40 parameters.

Future Plan

To build a community to share knowledge and advance agricultural innovation on the farm

Key Technology Used

AnalyticsInternet of Things (IoT)Machine Learning (ML)

Benefits to the end-user and Government

• User gets deep visibility into climate variability, and crop health, which they can factor while taking decisions about event timing and irrigation.
• As per the company’s website, a comparison between Arable’s in-field weather and standard gridded weather shows that Arable is 350% more accurate in the critical frost range that results in crop damage.

Impact

Reduction of risk with real-time frost, heat, rainfall and, growth, and device alerts.
Funding Source

Prelude Venturesd Middleland Capital S2G Ventures National Science Foundation

Funding and Annual Revenue

$35.8M

Reference URLs

  • https://arable.com
https://arable.com

Project Website

Arable

Feedback

Is this resource userful

Related

Loading...

Digitizing Grains

Sector: Agriculture
Country: India
Learn More

Autonomous farming robots

Sector: Agriculture
Country: UK
Learn More

Crop Monitoring

Sector: Agriculture
Country: Canada
Learn More
Overview

Home
About Us
Functions
Work
Case Studies
Contact Us

Related Websites

Wadhwani Foundation
Wadhwani Advantage
Wadhwani Entrepreneur
Wadhwani Opportunity

Our Functions

Training Academy
Strategic Projects
Technology & Policy

Contact

witp@wfglobal.org

Follow
Linkedin Twitter Youtube Instagram

© 2022-23. Wadhwani Institute of Technology and Policy. All Rights Reserved

  • Terms and Conditions
  • Privacy Policy
  • Cookie Policy
  • Terms and Conditions
  • Privacy Policy
  • Cookie Policy
  • Terms and Conditions
  • Privacy Policy
  • Cookie Policy
  • Terms and Conditions
  • Privacy Policy
  • Cookie Policy