AGRICULTURE DATA MONITORING

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DEVELOPING A SYSTEM FOR AGRICULTURE DATA MONITORING

Monitoring crop yield is central to addressing decisions on the product’s inventory strategy, revenues, and pricing. In this project, we developed a scalable system to predict crop yield using a combination of historical data, remote sensing data and advanced machine learning modelling.

The system helped the client monitoring and precisely evaluate the effects of their quality certificate programs for farmers all-over Indonesia.

The evaluation approach is passed on a Regression Discontinuity Design in which variations in the quality and levels of production of a given crop are compared just before and after the introduction of the certificate program in a given area.

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Landfill Monitoring

The purpose of this project is to define and develop an effective and capable monitoring system that can count trucks, estimate their load and measure the daily quantity of waste that goes to landfill and summarize the materials that get recycled.

Soil Fertility Monitoring in an Agroforestry System

How soil is impacted by different practices? How dose it change over time? These are few of the questions that we are trying to answer in an experimental project by collecting detail data on many soil properties with the use of state of the art sensors and data analysis.

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