hariprasath-v / Intel_oneAPI_Hackerearth_Target_and_Eliminate

Detect the presence of weeds and use targeted remediation techniques to remove them from fields with minimal environmental impact.

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Intel_oneAPI_Hackerearth_Target_and_Eliminate

Problem

Weeds to increase crop yields Weeds are an unwanted intruder in the agricultural business. They steal nutrients, water, land, and other critical resources to grow healthy crops. These intruders can lead to lower yields and inefficient deployment of resources by farmers. One known approach is to use pesticides to remove weeds, but aggressive pesticides create health risks for humans. Computer vision technology can automatically detect the presence of weeds and use targeted remediation techniques to remove them from fields with minimal environmental impact.

Expected Solution:

In this hackathon track, you will be tasked with training and deploying a model into a simulated production environment - where your binary-classification accuracy (F1 score) and inference time will be used to rank you against other teams competing for this track's top spot.

Dataset

You can download the dataset here

Mandate

Usage of usage of any oneAPI toolkit is mandatory.

About

Detect the presence of weeds and use targeted remediation techniques to remove them from fields with minimal environmental impact.

License:Apache License 2.0


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