Reference Stories

Crop Monitoring Using IoT

According to Statista, the projected market size for crop monitoring through sensing and imagery technology was approximately $385.6 million in 2021 and is anticipated to grow to $779.2 million by the year 2027. Utilizing crop monitoring and management techniques can result in substantial reductions in both power and water usage while simultaneously boosting crop yields, which explains the growth of specific agriculture equipment and IoT connectivity used within crop monitoring application. There’s an obvious relevance of IoT to Crop Monitoring. As we work with more than 1600 consumers from Agriculture, we can track that the number of crop monitoring use cases is expanding within different regions globally, such as the US, UK, Chile, Germany, Denmark, Malaysia, Japan and South Korea.

Crop Monitoring Equipment Vendors

Find out more about the leading crop control device vendors:

Vendor

Geo Location

Website

John Deere

United States

www.deere.com

Trimble

United States

www.trimble.com

AGCO Corporation

United States

www.agcocorp.com

Topcon Corporation

Japan

www.topconpositioning.com

Raven Industries

United States

www.ravenind.com

Climate Corporation

United States

www.climate.com

SST Development Group

United States

www.sstsoftware.com

Ponsse

Finland

www.ponsse.com

DICKEY-john Corporation

United States

www.dickey-john.com

Taranis

Israel

www.taranis.ag

DJI Agriculture

China

www.dji.com/agriculture

Sino-Agri United

China

www.en.sino-agri.com

FOTON LOVOL

China

www.fotonlovol.com

Ag Leader Technology

United States

www.agleader.com

Agrovista UK

United Kingdom

www.agrovista.co.uk

Note: The list makes no claim to completeness.

Applications withing the Use Case

The Crop Monitoring use case may apply to the following aspects:

Application

Description

Soil Health Monitoring

Utilizing IoT sensors to assess soil conditions, including moisture, nutrient levels, and pH, to optimize planting and fertilization.

Weather Forecasting

Integrating IoT weather data to make informed decisions on irrigation, pest control, and harvesting schedules.

Crop Yield Prediction

Using data analytics and IoT sensors to forecast crop yields, helping with resource allocation and market planning.

Pest and Disease Control

Monitoring and early detection of pests and diseases through IoT sensors and data analysis to prevent crop damage.

Precision Irrigation

Employing IoT and data-driven systems to control water usage, ensuring optimal irrigation and resource efficiency.

Remote Sensing

Using IoT-connected satellite or drone imagery to monitor crop health, detect issues, and make data-driven decisions.

Crop Scouting

Field-level monitoring using IoT-connected drones and sensors to identify issues and take proactive measures.

Learn more about Smart Agriculture and Customer Insights.

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