Curtis & Wyss

Artificial Intelligence in Agriculture Conference

Keynote Speakers

Israel Munoz

Researcher at Food Industries program

@IRTA

Rasmus Emil Hansen

CEO & Co-Founder

@Perplant

Carlos Ferraz Pueyo

Innovation Manager & CoFounder

@HEMAV

Huw Evans

Head of Innovation

@BeeHero

Ben Scott-Robinson

Co-Founder

@Small Robot Company

Martin Ullmann

CEO & Co-Founder

@Ullmanna

Agenda

Here's what's scheduled for the event. All Times are in BST.

09:00	REGISTRATION AND WELCOME COFFEE
09:30	OPENING ADDRESS FROM THE CHAIRMAN
09:40	APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN AGRICULTURE Case study Enhance the operation by sensors Drone aerial photography, including the use of satellite imagery, is one- way thatartificial intelligence is applied Agricultural robots as effectiveness at handling challenging scenarios
10:20	FRUIT DETECTION AND SIZING USING PHOTONICSENSORS AND COMPUTER VISION Case study A new methodology for fruit detection using a MTLS has been devel- oped, providing direct 3D fruit location information which is not affected by lighting conditions The combination of color (RGB), depth (D) and IR intensity data pro- vided by RGB-D Time-of-Flight (ToF) sensors enhances the fruit detection rates with object detection CNN A new method which combines Instance Segmentation CNN and Struc- ture-from-Motion (SfM) have shown high detection rates with a smaller number of fruit occlusions A new method for fruit size estimation in SfM point clouds is presented A new CNN architecture for simultaneous modal and amodal instance segmetatio was implemented to detect and measure of fruits in RGB-D images
11:00	MORNING COFFEE AND NETWORKING BREAK
11:30	SPEED NETWORKING Innovative approach to maximize networking capabilities through two minutes periods, where delegates can meet their peers and exchange business cards before rotating to the next company representative
12:00	TRUST IN AI - LEVERAGING THE NEW INTERNA- TIONAL STANDARD ISO 42001 PROVIDING A SOLID FRAMEWORK TO MANAGE AI Case study What the issues using AI What is ISO Benefits of leveraging internationally recognized standards What is ISO 42001 and how does it compare to other frameworks Application of ISO 42001 in Agriculture Conclusion and next steps
12:40	THE USE OF AI FOR THE OPTIMIZATION OF DRY-CURED HAM ELABORATION Case study Application of AI and inspection technologies for the prediction of quality traits for the dry-cured ham production Reduction of quality heterogeneity during production of dry-cured ham Cost reduction due to a better production planning Potential of this approach to predict quality problems before the end of the elaboration process
13:20	BUSINESS LUNCH
14:30	ADVANCES IN REMOTE SENSING, ARTIFICIAL INTELLIGENCE AND DIGITAL TWINS FOR IRRIGATION WATER MANAGEMENT Case study Crop evapotranspiration and water status is being monitored in near real-time using remote sensing and surface energy balance models Disaggregation techniques are used to improve the spatial resolution of Sentinel-3 land surface temperature Digital twins are being used to predict the crop water demands of irriga- tion districts and thus adjust the supply to their demands We are applying artificial intelligence algorithms in remote sensing time- series to classify irrigation systems and crops
15:10	AI APPLICATIONS IN CROP MONITORING AND PRECISION FARMING Case study Overview of the role of AI in agriculture, specifically focusing on crop monitoring and precision farming, and how it can revolutionize tradi- tional farming practices Explanation of importance of monitoring crops for optimal growth and yield Remote sensing technologies, including satellite imagery and drones, in capturing high-resolution data about crop fields
15:50	NETWORKING COFFEE BREAK
16:20	ARTIFICIAL INTELLIGENCE APPLICATIONS FOR EARLY DETECTION OF PESTS Case study The monitoring and detection of pests in agricultural settings Automated pest recognition AI-powered predictive models that can analyze historical data on pest occurrences, crop conditions, and environmental factors to forecast the likelihood of future pest outbreaks Crucial role of AI in early disease detection in crops
17:00	PANEL DISCUSSION AI provides farmers with the forecasting and predictive analytics to reduce errors and minimize the risk of crop failures
17:30	CHAIRMAN’S CLOSING REMARKS AND END OF DAY ONE
17:40	COCKTAIL RECEPTION
AGENDA	DAY TWO
09:00	REGISTRATION AND WELCOME COFFEE
09:30	OPENING ADDRESS FROM THE CHAIRMAN
09:40	AI AND ROBOTICS FOR LABOR OPTIMIZATION IN FARMING Case study The labor challenges faced by the farming industry, such as labor shortages, rising labor costs, and the need for repetitive and physically demanding tasks The integration of machine learning algorithms with robotic platforms to identify and target weeds and pests, reducing the reliance on chemical inputs and manual labor Lesson learned from 3 years of the development of the mechanical weeding platform The benefits for the farmer and for the agriculture manufacturers Opportunity for the transition to more sustainable farming
10:20	HOW TO DEMOCRATIZE AI FOR MORE SUSTAINABLE AGRICULTURE Case study AI is a powerful technology that can help the transition towards sustain- able agriculture To reach sustainable agriculture farmers need to adopt AI - and that is not without challenges AI currently looks like a hammer looking for a neel.... but efficient AI adoption is a people challenge - not a technology challenge PerPlant - how bottom-up technology design increases use of AI in Agriculture
11:00	MORNING COFFEE AND NETWORKING BREAK
11:30	AI APPLICATIONS IN SUGARBEET: AZUCARERA CASE STUDY Case study Potential field identification Water management Anomaly detection Variable Rate Input distribution Harvest planning and sugar increase
12:10	USING SMALL ROBOTS TO GAIN PER PLANT INTELLIGENCE IN WHEAT, WITH A 7X BOOST TO ROI OVER THE STATE OF THE ART Case study Robot Company is using robots and AI to map each individual plant in the field This system provides a detailed understanding of how a crop is grow- ing, throughout the season It provides previously unseen intelligence, and detailed spay maps This allows a farmer to save money on every spray treatment, as well as reducing CO2e emissions by 1-7 tonnes per hectare
12:50	BUSINESS LUNCH
14:00	INTELLIGENT POLLINATION FOR SUSTAINABLE INCREASES IN CROP YIELDS AND GLOBAL FOOD SECURITY Case study Artificial intelligence for detection and classification of honey bee activ- ity at hive entrance during pollination cycles Precision polllination - Monitoring effectiveness of pollination services in real time using multiple IoT sensors Flight models in high cash value crops for mitigation of pollination deficit and prediction of yields (almonds, onion seed, OSR, strawberries) Data analytics for improved honey bee health - tools for beekeepers
14:40	COMPUTER VISION TOOLS FOR MONITORING PHYSICAL ACTIVITY AND BEHAVIOUR OF LIVE- STOCK Case study Our research line aims to explore the genetic determinism of the feed efficiency of growing animals: pigs and rabbits With the objective to define traits and models to conduct genetic evalu- ations to genetically improve the efficiency on using feed The physical activity is one of the major components of energy use by the growing animals, thus having automatic tools to measure it at an individual level is highly relevant The objective of our presentation will be to show the methodological advances on the development of a computer vision tool for this task As well as to present some biological measurements that could be obtained with this tool
15:20	NETWORKING COFFEE BREAK
16:00	PANEL DISCUSSION The feature perspective aspects of artificial intelligence in agriculture
16:30	CHAIRMAN’S CLOSING REMARKS AND END OF THE CONFERENCE

Venue

Venue: Barcelona, Spain
Address: HOTEL Occidental Atenea Mar Paseo García Faria 37-47 08019

visit venue website map and transport links

On behalf of Curtis & Wyss Group, it is a pleasure to invite you to participate at the Artificial Intelligence in Agriculture Conference scheduled on October 19th-20th, 2023 in Barcelona, Spain. This premier B2B event will enable the participants to learn about the latest trends and developments in the AI innovative field in agriculture, livestock farming, and food. Agriculture is the most important industry in the world, and artificial intelligence is having a huge impact there as well. Today's agriculture system has reached at a different level due to AI. This conference is an opportunity to exchange knowledge and connect with leading experts. We are providing a multifunctional platform for professionals, experts, researchers, and enthusiasts from various fields related to agriculture and technology.

The Conference aims to explore the potential of artificial intelligence in revolutionizing agricultural practices, improving productivity, sustainability, and addressing the challenges faced by the industry. The event is relevant to individuals and organizations involved in agriculture, technology development, research, policy-making, and investment in the agricultural sector. It is an honour and privilege to invite you to participate on this Conference. We look forward to welcoming you at the Conference in Barcelona upcoming October.

HIGHLIGHTS

AUDIENCE

INDUSTRIES