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 1200 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.
Find out more about the leading crop control device vendors:
Vendor | Geo Location | Website |
|---|---|---|
John Deere | United States | |
Trimble | United States | |
AGCO Corporation | United States | |
Topcon Corporation | Japan | |
Raven Industries | United States | |
Climate Corporation | United States | |
SST Development Group | United States | |
Ponsse | Finland | |
DICKEY-john Corporation | United States | |
Taranis | Israel | |
DJI Agriculture | China | |
Sino-Agri United | China | |
FOTON LOVOL | China | |
Ag Leader Technology | United States | |
Agrovista UK | United Kingdom |
Note: The list makes no claim to completeness.
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.
