About this site


This site is intended to be the portal for the Sensor Laboratory of Edisto Research and Education Center (EREC) of Clemson University located in Blackville, South Carolina. The laboratory is equipped with advance machines in developing different electronic designs for EREC Research Scientist and South Carolina growers. The laboratory is currently supervised by Dr. Joe Mari Maja and his main responsibility is to develop new technologies that address current problems or future potential problems in SC Agriculture.Among other things, the site will also features different technologies developed by members of the lab including graduate students working in the lab for their thesis.


  • Joe Mari Maja
  • Research Assistant [currently hiring, apply at Clemson HR website]
  • Post Doc on spectral analysis, automation & control[send your resume to jmaja at clemson dot edu]
  • Graduate Students [send your resume to jmaja at clemson dot edu]


  • Ikedah Hidetoshi, Toyama National College of Technology, Japan
  • Scott Sell, Clemson University
  • Ahmad Khalilian, Clemson University
  • Jose Payero, Clemson University
  • Kendall Kirk, Clemson University
  • Jeremy Greene, Clemson University
  • Frances Reay-Jones, Clemson University
  • Todd Campbell, USDA
  • Philip Bauer, USDA
  • Joao Camargo-Neto, Embrapa, Brazil
  • Anand Jayakaran, Clemson University


  • Drones could change future of farming
  • Count on this. Object-based software provides an automated inventory process for growers.
  • The Rise of small UAVs in Precision Agriculture.
  • Advanced tree stress detection technologies for citrus.
  • Mini-helicopter can help citrus growers detect disease.
  • “Crop copter” helps collect agriculture data and spot problems.
  • ‘Crop copter’ lets farmers monitor fields from afar.
  • University of Florida researchers build crop chopper to help growers increase efficiency.
  • Nursery industry banks on ‘eyes in sky’
  • Picture this. Nursery, Management and Production Magazine.


  • Demonstration of Innovative Nutrient Management Strategies Combined withSoil Amendments to Enhance Nitrogen Use Efficiency, Farm Profitability, and Environmental Quality, USDA-NRCS
  • Demonstration of Innovative Sensor-Based Nitrogen Management and Interseeding Technology to Reduce Nutrient Inputs and Weed Populations While Enhancing Farm Profitability in South Carolina, USDA-NRCS
  • Utilizing Space-Based Technology to Determine Hydrological Properties of Soils for Characterizing, Understanding, and Predicting Terrestrially-Linked Components of the Hydrologic Cycle, NASA
  • Using UAV imagery data to predict yield in a cotton breeding program. SC Cotton Board
  • Remote Sensing with an Unmanned Aerial Vehicle to Predict Insect Abundance and Crop Injury in Cotton, SC Cotton Board
  • Development of Remote Sensing Technologies for Important Insect Pests in South Carolina Soybeans
  • Development and Evaluation of a Sensing Device for Quantifying Water Deficit Stress in Cotton. SC Cotton Board
  • Improved IPM practices utilizing innovative technologies to enhance farm profits while reducing environmental and human health risks[pending]

Personal Info



Small size controller that runs its own small operating system and can be configured using terminal program. This will be use as the main coordinator for the Intelligent Pivot System but can also be used for other automation project.


a small board (smaller than SC driver’s license) that transmits data from three different sensors into another controller e.g. iFc or to a computer. This will be used as a part of the intelligent pivot system project.


Spray controller powered by iFc can control 8 individual nozzles using pulse width modulation at 10 Hz.


small-sized board that incorporates GPS, Load Cell, Potentiometer and a trigger into one platform and stream all gathered information through either wired, e.g., USB or wireless (future) through Bluetooth or Zigbee. Powered by a derivative of iFc v1.0

ramp applicator

automate ramp application of nitrogen. Capable to be controlled either manually or automatic. Automatic control is based on the set distance for each of the spray zone. This controller is powered by iFc v1.0.

4spray applicator

automate/controls for four spray nozzles. Manual and automatic control capable. Automatic control is based on the spray boom program which send specific commands at certain location to either turn on/off any of the four nozzles.

pups overdrive

This is a huge upgrade of pups, which sends data, e.g. temperature and four soil moisture information to the cloud. Powered by iFc v1.0


This measures impact force using MEMs technology. The board comes with a wireless capability that transmit the impact force of two sensors and also save the information directly to a microSD card.

starch measuring device

small-sized board that incorporates spectral sensors and polarized filter that measures 43 bands. This is powered by iFc derivative.

DROP US A NOTE [.. under construction]

Email directly to jmaja at clemson dot edu
BTW Section
This is the By The Way Section which will showcase some of our cool student projects! We are going to feature our robotics team for ASABE Competition 2015.