PLANT HEALTH ASSESSMENT BASED ON PRECISION IOT LEAF PHYTOMETRY TECHNIQUES
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@@ -6,13 +6,25 @@ Main Objective: Monitor and estimate plant data using leaf phytometric methods,
for assessment of plant health and diseases and providing intelligent recommendations.
Main Research questions:
Main Research questions: How to create precision leaf sensors (clips) for direct phytometry (plant monitoring), and thereby obtain more accurate plant health data, and provide useful recommendations to agri-stakeholders.
Individual research question:
Individual research question:
1-How to create leaf thickness sensor (clip) and obtain image-processing based leaf area measurement.
2-How to create leaf chlorophyll and Nitrogen estimation sensor (clip).
3-How to create leaf capacitance sensor (clip).
4-How to create leaf temperature sensor (clip).
Individual Objectives:
Other necessary information:
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1-To utilize precision IoT leaf phytometric techniques to improve grade and quality of cabbage leaves.
2-To utilize precision IoT leaf phytometric techniques to improve health and nutrition provided by the cabbage.
3-To utilize precision IoT leaf phytometric techniques to improve plant water health.
4-To utilize precision IoT leaf phytometric techniques to improve plant thermoregulation and selection of drought resistant genotypes.
Other necessary information:
STUDENT NAME STUDENT NO. CONTACT NO. EMAIL ADDRESS
1 Dolawatta R. IT20051334 0772506212 it20051334@my.sliit.lk
