Prices are shown before tax and bank charges — no surprises at checkout.
On-site keynotes, talks, workshops, networking, conference kit and certificate.
Live streaming access to all sessions, digital materials and certificate.
We only need what's required to register and email your confirmation. Everything else is optional.
Have a code? Apply it here — the discount updates the total immediately.
Payments encrypted & processed securely. Refundable up to 14 days before the event.
Includes all bank processing charges — the amount above is exactly what will be charged.
Contact our registration team:
Conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
This track focuses on the latest innovations in agricultural machinery design and engineering. Emphasis will be placed on integrating precision biotechnology to enhance operational efficiency and sustainability.
This session will explore the application of predictive modeling techniques in precision agriculture. Participants will discuss methodologies that enhance decision-making processes and resource management.
This track will delve into the use of supervised and unsupervised learning algorithms in crop management. The aim is to showcase how these techniques can optimize yield and reduce resource wastage.
This session will examine the role of deep learning in analyzing agricultural data. Discussions will include feature extraction and anomaly detection to improve crop health monitoring.
This track will highlight advancements in workflow automation technologies for agricultural systems. Focus will be on improving efficiency and reducing labor costs through automated processes.
This session will explore the integration of Industrial Internet of Things (IoT) technologies in precision farming. Participants will discuss how IoT can enhance system monitoring and data collection for better decision-making.
This track will focus on predictive maintenance approaches for agricultural machinery. The session aims to reduce downtime and optimize machinery performance through advanced analytics.
This session will explore the application of digital twin technology in agricultural practices. Participants will discuss how virtual models can improve process optimization and resource allocation.
This track will focus on the integration of crop analytics with environmental monitoring techniques. The aim is to enhance sustainability and productivity through data-driven insights.
This session will delve into simulation techniques for process optimization in agricultural operations. Discussions will include case studies demonstrating improved efficiency and yield.
This track will explore emerging biotechnological innovations that impact agricultural practices. Participants will discuss the implications of these technologies on crop production and sustainability.
COPYRIGHT © 2026 ISAR. ALL RIGHTS RESERVED
