PyCon Nigeria Annual Conference

using AI to solve issue in agriculture what tool to use

speaker-foto

Daniel Samuel Etukudo

I am a very enthusiastic and intelligent person with a passion to solve real-world problems using machine learning and computer vision, with 5 years of experience in the field. I am a detail-oriented team player with strong organizational skills and the ability to handle multiple projects simultaneously with a high degree of accuracy.

Description

In our session, we'll explore how artificial intelligence (AI) and computer vision are transforming agricultural practices. From crop monitoring to livestock management, AI-powered solutions offer insights into farm operations,and steps we need to solve issues suing AI and computer Vision,from crop monitoring to livestock management.

Abstract

As agriculture faces increasing pressure to meet the demands of a growing global population while minimizing environmental impact, the integration of Artificial Intelligence (AI) has emerged as a transformative solution. This session will explore the myriad ways in which AI tools can be utilized to tackle pressing issues in agriculture, ranging from crop monitoring to livestock management and beyond.

We will delve into the diverse array of AI techniques and tools available to farmers, agronomists, and agricultural researchers, including machine learning, computer vision, predictive analytics, and robotic automation. Through real-world case studies and examples, we will demonstrate how these AI tools empower stakeholders to make data-driven decisions, optimize resource allocation, and enhance productivity and sustainability across the agricultural value chain.

Key topics of discussion will include:

Crop Monitoring and Disease Detection: Utilizing AI-powered computer vision systems to identify and mitigate crop diseases, pest infestations, and nutrient deficiencies in real-time.

Precision Agriculture and Resource Optimization: Leveraging machine learning algorithms to analyze soil and environmental data, enabling precise input management and resource allocation for optimal crop growth.

Livestock Management and Health Monitoring: Exploring the role of AI in monitoring animal behavior, detecting signs of illness, and optimizing feeding schedules to improve animal welfare and farm profitability.

Weed Detection and Management: Harnessing computer vision techniques to distinguish between crops and weeds, enabling targeted herbicide application and reducing environmental impact.

Predictive Analytics and Yield Estimation: Using AI models to forecast crop yields, optimize harvest timing, and inform decision-making processes for improved crop planning and market forecasting.

Attendees will gain valuable insights into the practical applications of AI in agriculture, along with actionable strategies for implementing AI-powered solutions to address the complex challenges facing the agricultural industry. By harnessing the power of AI tools, we can unlock new opportunities for innovation, efficiency, and sustainability in agriculture, paving the way for a brighter and more resilient future for food production worldwide.

Audience level: Not Applicable