Monitoring Sugarcane crop health using Remote Sensing

THE CHALLENGE

Open source remote sensing data is increasingly becoming available and can provide valuable information on the status of crops such as sugarcane in Mozambique. When this information is timely communicated, it can be of great value in the management and prevention of factors that cause crop loss such as under/over-irrigation, diseases, pests. However, this type of new data has not yet been made accessible for smallholder sugarcane farmers in Mozambique. 

The process of retrieving useful information from remote sensing data about the growth of a crop and getting this information to the right place and person is still lacking.

THE SOLUTION

With the introduction of new satellites and improved remote sensing techniques, higher quality spectral, temporal and spatial data is becoming available. This project aims to create a tailored method for using this data to identify, differentiate and quantify the factors that influence the growth of sugarcane. This enables us to monitor the status and health of the crop. With this information, areas of sugarcane that are experiencing stress can be identified and classified. 

THE IMPACT

This research will make it possible to know where in the field crops are lagging in their growth, as well as what causes this lag. With this information, farmers can better target agronomic practices to increase their yields and income, and at the same time, use the available resources more sustainably. The expected outcome is to have specific vegetation indices that can be used to detect problems in the field when they can still be mitigated.

For more information and detail, please reach out to Tijmen Remijnse (BSc thesis at Wageningen University and Research – tijmen.remijnse@wur.nl)

 


Implemented in

Sofala, Mozambique

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Contact person

Timon Weitkamp


Network Partner


Keywords

Agriculture; Smart Services; innovation; communication; extension service; smallholder; solution; mobile phone; knowledge; information technology; remote sensing; satellites; sugarcane