Digital Agrisource Competition (Machine Learning)

Phase 1:

To be done during July, August and September, during which we will :

• Build monitoring and control system for indoor/outdoor farms for the following,
• Field sensing i.e Soil Moisture, Weather Temperature and Humidity, PH, Water TDS/Nutrients.
• Light luminosity sensing.
• VoC (volatile organic compounds) sensing.
• Build Nutrients and PH dosing system to adjust the water for the soilless growing method.
• Develop cloud-based processing/visualization for the aggregated data.

Phase 2:

To be done after September by the selected teams, as a system enhancement during their graduation project, we will work on,

• Develop optical sensing device (i.e NIR) for agriculture and aquaculture sensing.
• Image analysis of Plant leaves to identify deficiencies, infections or other stresses using AI based image processing.
• Predictive analysis of the aggregated data for early decision making.

Application Deadline: 30/7/2018

Internship Start date: 1/8/2018

Duration: 3 months

Agrisource:

Leveraging the latest advances in science and technology, including Internet-of-Things (IoT), Artificial Intelligence (AI), Machine Learning and cloud-based communication protocols that accelerate data collection and analysis across the entire seed-to-shelf spectrum, Agrisource Data delivers the most complete solution in the market for meeting the challenge of global food production.