BIG DATA DRIVEN AGRICULTURE

This monograph gives a broad view of efforts of the ICCEM surveillance team on the application of Big Data in agriculture under Philippine settings. The availability of numerous satellite data sources, remote sensing technologies such as Light Detection and Ranging (LIDAR), spectroscopy, and the use of Unmanned Aerial Vehicle (UAV) have shown its great potential in obtaining earth surface information for classification and mapping. Moreover, these tools were proven to be very useful in obtaining updated geo-information, plant health status of the target areas as well as pests and diseases early warning tool to forewarn the community of the impending pests and disease outbreak. The field spectroscopy is another promising tool with a wide range of applications in agriculture since it can improve and replace the traditional method of obtaining physiological and biochemical parameters of crops which is normally done through laborious and expensive analysis. Instead, it can generate instantaneous results in a non- destructive and less labor intensive way. The application of Big Data in agriculture seem to be enormous that we scientists must take advantage.