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WFCC 2025 Hands-on Workshop

1. Connected Farming: Water Management using IoT for Agriculture

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This interactive session is designed to provide a comprehensive understanding of how the Internet of Things (IoT) can revolutionize agricultural practices. As global challenges such as climate change and water scarcity continue to impact food production, innovative solutions like IoT offer promising ways to enhance efficiency, conserve resources, and improve crop yields. In this workshop, we will focus on a practical application of IoT technology: soil moisture monitoring and automated irrigation. You will learn to set up and program an ESP8266 (NodeMCU) microcontroller to collect soil moisture data using a sensor and control a water pump based on the sensor readings. By integrating the NodeMCU with the webapp platform, you will be able to monitor soil moisture levels and control the irrigation system remotely through a smartphone app. Throughout the session, you will gain hands-on experience with IoT hardware and software, including sensor interfacing, Wi-Fi connectivity, and real-time data transmission. Additionally, you will explore the significance of precise water management in agriculture and how IoT can help achieve optimal plant growth while conserving water.

 

This workshop is ideal for students, educators, agricultural professionals, engineers, and anyone interested in learning about IoT technologies and their applications in smart agriculture. Join us to explore the exciting world of IoT and discover how technology can transform the way we grow our food.

 

Objectives

  • The objective of this workshop is to provide participants with a comprehensive understanding and hands-on experience in applying Internet of Things (IoT) technology to agriculture. Specifically, participants will learn to set up, program, and utilize a microcontroller unit to monitor soil moisture levels using sensors and control a water pump for automated irrigation. Through integration with a webapp platform, attendees will gain skills in remote monitoring and control via a smartphone app.

  • This workshop aims to demonstrate the importance of precise water management for optimal plant growth and resource conservation, fostering practical knowledge and skills in IoT hardware and software, and inspiring innovative applications in smart agriculture.

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Target Audience:

  • Agricultural Professionals

  • Engineers and Technologists

  • Students

  • Educators

 

Workshop Outline:

  1. Introduction

  2. Hardware & Software Setup

  3. Data Transmission with Blynk

  4. Testing & Troubleshooting

  5. Conclusion & Q&A

2. Smart Agriculture: Machine Learning Approaches to Combat Climate Change and Enhance Food Security

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This workshop provides a comprehensive introduction to the fundamentals of machine learning (ML), with a specific focus on its applications in addressing the dual challenges of climate change and food security. Participants will gain hands-on experience in applying advanced ML algorithms to analyse complex climate and agricultural datasets. The workshop will cover techniques for identifying key patterns and trends, and developing predictive models that generate actionable insights and recommendations. 

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Topics:

  1. Introduction to ML and its applications in climate change and food security

  2. Data pre-processing and feature selection techniques for climate and food-related data

  3. Supervised and unsupervised learning techniques for climate and food-related data analysis

  4. Time series analysis and forecasting using machine learning algorithms

  5. Case studies and examples of machine learning applications in climate change and food security

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Expected outcomes:

  1. Understanding of the basic concepts and techniques of machine learning

  2. Ability to apply machine learning algorithms to climate and food-related data analysis

  3. Understanding of the potential of machine learning in addressing the challenges of climate change and improving food security

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Target Audience:

  • Plant scientists

  • Agronomists

  • Bioinformaticians Researchers in plant phenotyping and image analysis

  • Graduate students and postdoctoral researchers

  • Professionals in agricultural technology

 

Workshop Outline:

  1. Data pre-processing and feature selection using Python libraries like pandas and numpy

  2. Applying machine learning algorithms like Decision Trees, Random Forests, and Deep Learning to analyze climate and food-related data

  3. Time series analysis and forecasting using machine learning algorithms like ARIMA, LSTM, and Prophet

  4. Creating predictive models and generating recommendations for improving food security in the face of climate change

3. Leveraging AI for Accurate Weather Forecasting

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This hands-on workshop on AI for Climate Change and Weather Forecasting is designed to explain how artificial intelligence (AI) can be leveraged to address critical environmental challenges. As global issues such as climate change and extreme weather events intensify, the use of AI became more important thanks to its efficiency in analyzing trends, making accurate predictions, and developing effective strategies for mitigation and adaptation.

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In this workshop, you will explore practical applications of AI in weather forecasting. We will start by preprocessing the data, designing, and testing a simple prediction model. We will then guide you through the process of using pretrained AI models to predict weather patterns based on realistic data. You'll gain hands-on experience with data preprocessing, running predictions, and evaluating model performance using Python and popular AI libraries.

 

Throughout the two sessions, you'll work with real-world datasets and learn to interpret the results, understanding the implications of AI-driven insights for weather forecasting. This workshop is ideal for high school and university students, educators, and professionals eager to learn about AI technologies and their applications in environmental science. Join us to discover how AI can transform our approach to tackling climate challenges.

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Objectives:

The objective of this workshop is to provide participants with a comprehensive understanding and hands-on experience in applying AI technology to climate change and weather forecasting. Participants will progress from a basic understanding of AI and its application in weather forecasting, to designing a simple prediction model and testing its accuracy, and finally, to using pretrained AI models for more accurate results. The workshop aims to demonstrate the significance of AI in understanding and addressing climate challenges, fostering practical knowledge and skills in AI and data science.

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Target Audience:

  • Environmental Professionals

  • Educators

  • Students

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Workshop Outline:

  1. Introduction to AI and Weather forecasting

  2. Data Collection and Preprocessing

  3. Designing a Simple Prediction Model

  4. Testing the Accuracy of the Model

  5. Using Pretrained Models for More Accurate Results

  6. Advanced Climate Data Analysis

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