PROBLEM STATEMENT:

The agricultural industry and in particular the farming community has constantly faced the threat of pests and environmental disruptions and is being considered a severe threat for food security and economic stability for both farmers and general public. Traditionally, such challenges are addressed through the local knowledge of farmers which has been passed down through generations and has paved way for mitigating some of the impact of pests

Identification and classification of crop pests are one of the major challenges in the field of agriculture. Plants are damaged by insects, which mainly affect the productivity of crops. Classification of pests is a difficult task due to the complex structure and having a high degree of similarity of the appearance between distinct species. It is necessary to recognize and classify insects in the crops at an early stage, especially to prevent the spread of insects, which cause crop diseases by selecting effective pesticides and biological control methods. Traditional manual identification of insects is typically labour-intensive, time-consuming and inefficient.

In recent years, deep learning models based on CNN are extensively used as a powerful class of models for classification of images in a variety of problems in agriculture field such as plant disease recognition, fruit classification, weed identification and crop pest classification. Your Task is to create a Deep Learning Model which classifies to which class of pests each image belongs to.

ABOUT THE COMPETITION:

Our Data Sprint 68 is a part of World Data League, an international non-profit competition that gathers the best minds in the Data Science field to develop long-lasting solutions for social impact challenges. In this, you will have an opportunity to work on a dataset that aims to solve one of the United Nations Sustainable Development Goals and create a larget social impact.

Alongside, the winners of this competition will gain direct access to the WDL Semi-Finals to compete with the league's leading teams and grab a prize pool worth of €15000.

REGISTRATION | GUIDELINES & TEAM CREATION:

In order to be eligible for the competition, please ensure:

you register as a team of (min 3 and max 5).

Further, follow the below steps for creating the team:

Data Sprint 68 - World Data League External Competition

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Registration Ends

Challenge Ends