Le prochain séminaire de l’équipe Image et Contenus aura lieu ce vendredi 10 novembre à 14h dans la salle 017 du bâtiment Pascal.
A cette occasion, 2 invités pakistanais feront chacun une présentation.
Voir le détail ci-dessous.
|Title : Role of Artificial Intelligence in Empowering Agriculture and Ecosystem Preservation|
Speaker : Dr. Nadeem Iqbal Kajla, Assistant Professor, Institute of Computing, MNS University of agriculture, Multan. Pakistan
In an age where the demands of a growing global population intersect with critical environmental concerns, the agricultural landscape is undergoing a deep transformation, and Artificial Intelligence (AI) is at the forefront of this revolution.
This talk explores the critical role of AI in empowering agriculture and ecosystem preservation. By using AI’s capabilities in crop monitoring, disease detection, soil analysis, irrigation management, postharvest procedures, and decision support systems, the presentation explores how AI-driven solutions offer sustainable, data-driven practices that not only enhance agricultural efficiency and productivity but also safeguard and revive the ecosystems. The fusion of technology and agriculture is adopting a future where responsible farming harmonizes with environmental preservation, highlighting AI as a powerful stimulus in the recreation of a more sustainable and ecologically conscious world.
|Title : Artificial Intelligence Based Beehive to control colony collapse disorder|
Speaker : Ms. Asma Rehman, Research Scholar, Institute of Computing, MNS University of Agriculture, Multan, Pakistan
In present centuries, the agricultural industry has witnessed remarkable progress driven by artificial intelligence (AI) technologies. These innovations have revolutionized traditional practices by enabling sophisticated monitoring and analysis techniques.
We present an application of AI in beekeeping, where a remote monitoring system equipped with sensors and algorithms provides unprecedented insights into hive conditions and bee performance. Bees are essential to the global surroundings and, more critically, to the survival of many crops because of their capacity to pollinate flowers. Due to a disease known as Colony Collapse Disorder, beekeepers have recently witnessed significant losses to their controlled honeybee colonies as their colonies are declining. Most bees mysteriously leave the hive when a colony gets CCD. A beekeeper must fully comprehend the state and actions of a hive to take proper care of bees. To fulfil these requirements, we developed an Artificial Intelligence based beehive that is affordable, entirely scalable, and straightforward to use. The temperature, humidity, weight and noise levels inside the hive are all measured by the equipment. An Infrared (IR) sensor is mounted on the exterior of the hive to count the number of bees and monitor activity at the entrance. The data from the sensors and IR are used to indicate the condition of the hive by monitoring usual activities of bees. The sensors in this system continually collect data, which it then sends to a remote server for analysis. All data is analysed by algorithms, which then alert the beekeeper to any changes in the health of the hives. This contribution improves user-experience and amateur for keeping honeybee and gives way for interoperability between the available simulation (humidity, weather, bee colony behaviour etc). Through rigorous experimentation and analysis, we achieved remarkable accuracies of 97.49%, 98.49%, and 98.37% for Multi-layer Perceptron, Regression, and Random Forest, respectively.