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IN ABEYANCE
Data Science Driving Urban Ecology
Collaborators (past & present):
Akira Yamamoto (ASDRP Chemistry Dept.)
Sahar Jahanikia (Chair, ASDRP Bio- & Neuro-Sciences Dept.)
Edward Njoo (Chair, ASDRP Chemistry Dept.)
Soumya Suresh (ASDRP Biology Dept.)
Prabhjeet Kaur (ASDRP Biology Dept.)
Karishma Johnson (ASDRP CS&E Dept.)
Peter Le (ASDRP Biology Dept.)
The Garden
The Garden
LEAF is a non-profit organization in Fremont serving Fremont, Newark, Union City, Sunol and Hayward. Our mission is to take positive climate action by educating our community to live sustainably, grow healthy food, and reduce waste. Our mission is achieved through our food gardens and our education programs offered online and onsite. [LEAF | Local Ecology and Agriculture Fremont (fremontleaf.org) ]
In collaboration with: Ms. Carly Truong, Ms. Karishma Johnson, Mr. Akira Yamamoto, Mr. Peter Le
LEAF approached ASDRP with the desire to create a monitoring program to discover and aid in the addressing of any potential problems found on a [currently fallow] plot of land that was intended for future cultivation. Using X-Ray Fluorescence (XRF) and Inductively Coupled Plasma - Optical Emission Spectrometry (ICP-OES) to determine the elemental composition of soil within the LEAF garden (as reflected in samples gathered from the site under analysis) ASDRP will build a predictive model using Machine Learning to provide timely and current guidance to LEAF membership through either a Web-based or Mobile application.
In this fashion, both mitigation [of heavy metals and residual toxic elements] and cultivation will be able to be undertaken by LEAF on an as-needed basis to ensure maximum productivity and yield of the area(s) under study. Mitigation will take place based on chronological measurements of element levels [Zirconium, Molybdenum, Strontium, Rubidium, Lead, Zinc, Nickel, Iron, Manganese, Antimony, Tin, Cadmium, and Silver] using accepted and certified practices [as defined by the State of California and the US Department of Agriculture].
Hardware: Design, build & test remote sensor platforms for insertion into soil under cultivation for purposes of producing telemetry for transmission back to ASDRP to be introduced to a Web-based server application running a predictive agricultural model intended to deliver needed information to those responsible for the plot being instrumented:
Skills needed.
Arduino
Raspberry Pi
Familiarity with electrical circuity
Soldering
Software: Design, build & test Linux-based mathematical model capable of advanced statistical analysis & predictive modeling.
Skills needed:
Linux operating system fundamentals
Programming
C++
Python
HTML
PHP
SQL
DDL
DML
Networking
802.3
802.11(b/g/n/ah)
TCP/IP
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