DeepPlants’ Post

SciML lab Research Projects #3 Today we are proud to share another research project titled "Innovative AI-Driven Approach for the Development of Postharvest Protocols Under Extreme Climatic Conditions", in collaboration with Ofer Shir and Dan Gamrasni from MIGAL Galilee Research Institute. This project focuses on the development of postharvest protocols using physics-informed machine learning for assessing the quality of fruits and vegetables  under extreme climatic conditions. By integrating advanced AI with physics-based insights, the project aims to accurately predict produce fitness through image analysis. Stay tuned for groundbreaking insights as we continue to push the boundaries of innovation in the field of agriculture research! Curious to learn more about this project? See full article in comments 👇 #Agriculture #Research #Innovation #AdvancedAI #Physics_informed_machine_learning

🎉 Exciting News! 🎉 I'm happy to share that two of my papers have been accepted at IJCNN, a top-tier (A OR A*) conference. 1️⃣ "Interpretability in Mapping Weeds and Crops from Drone Images." 2️⃣ "Interpretable Transformers for Alzheimer Disease Diagnosis on Multi-Modal Data." These works underscore our commitment to enhancing interpretability in the data analytics and decision-making processes of AI and ML. The first paper delves into agricultural advancements through drone technology, while the second explores crucial medical diagnostics improvements. I would like to express my heartfelt gratitude to my supervisors, Professor Omar Hussain, Dr Ripon K. Chakrabortty and co-author Md Sarwar Kamal for their valuable guidance and support throughout this research. #IJCNN #AI #MachineLearning #InterpretableAI #ResearchImpact #UNSWCanberraSchoolofBusiness

Introducing Lag-Llama: the inaugural open-source foundation model designed for time series forecasting, poised to revolutionize computational medicine, natural sciences, finance, climate analysis, retail, ecology, energy, and beyond. Join us in unlocking its potential across diverse applications! #LagLlama #TimeSeries #forecasting #opensource #opensourceai #llama #AI #genai #generatieveai #largelanguagemodels

🌿 Exploring the Frontier of Machine Learning in Plant #Phenomics! 🌿 Today at the UK Plant Phenomics Conference, we were privileged to hear from Prof. Ioannis N. Athanasiadis from Wageningen University & Research. His enlightening talk, titled "𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞-𝐠𝐮𝐢𝐝𝐞𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐢𝐧 𝐏𝐥𝐚𝐧𝐭 𝐏𝐡𝐞𝐧𝐨𝐦𝐢𝐜𝐬," provided profound insights into integrating artificial intelligence with plant science. 🔍 Presentation Highlights: Integrative Approach: Prof. Athanasiadis demonstrated how knowledge-guided machine learning could revolutionise our understanding and management of plant systems, focusing on enhancing predictability and efficiency in plant phenotyping. Future Implications: The integration of extensive datasets with advanced AI models promises to unlock new innovations in crop management and disease mitigation, setting a new standard for precision agriculture. 🤖 The intersection of #AI and #agriculture is a burgeoning field that offers limitless potential for sustainability and productivity enhancements. Stay tuned as we continue to explore groundbreaking research and innovative strategies that are defining the future of plant phenomics. #PlantScience #AI #MachineLearning #Phenomics #Innovation #Research #PhenomUK2024

Dear LinkedIn connections and contacts, The following webinar may be useful for you on how to use AI to monitor large-scale biodiversity. IUBS webinar lecture 7: “Challenges and Opportunities at the Intersection of AI and Biodiversity” Talk overview: Biodiversity is crucial for sustainable development, public health, and mitigating climate change, yet we are facing an unprecedented loss. Dr. Beery will introduce how AI can facilitate the efficient extraction of scientific insights from massive amounts of natural-world data collected by sensors, satellites, and drones. She will also discuss the challenges posed by real-world data and present exciting new research directions that aim to enable global-scale, near-real-time biodiversity monitoring. About Dr. Beery: She uses digital technology to address conservation and sustainability challenges. She develops computer vision methods for global-scale environmental and biodiversity monitoring, tackling issues like domain shift, imperfect data, and long-tailed distributions. Moderator: Dr. Tanya Berger-Wolf is a Professor of Computer Science Engineering, Electrical and Computer Engineering, and Evolution, Ecology, and Organismal Biology at the Ohio State University Zoom link to register to the webinar: https://lnkd.in/gWzsSChy #biodiversityAI

🌟 Exciting News from INTERSPEECH 2024! 🌟 Last week, I had the incredible opportunity to present our research paper, "Bird Whisperer: Leveraging Large Pre-trained Acoustic Model for Bird Call Classification", at the INTERSPEECH 2024 Conference in Kos, Greece 🇬🇷. It was an amazing experience to share our work on adapting OpenAI’s Whisper model—originally developed for human speech recognition—to the unique challenge of classifying bird calls 🐦. Our approach achieved a remarkable ~15% improvement in F1-score over the baseline, showcasing the model’s potential in bioacoustic monitoring and conservation. These findings highlight the exciting possibilities of adapting pre-trained acoustic models for broader bioacoustic tasks, paving the way for future advancements in speech processing and ecological conservation. A special thank you to my supervisor and co-authors: Muhammad Umer Sheikh, Bhuiyan Sanjid Shafique, Asif Hanif, and Muhammad Haris Khan. This achievement wouldn't have been possible without their valuable contributions and collaboration! 🙌 For those interested in exploring the project further, you can check out the code and full implementation here: https://lnkd.in/dhhexTzH 🔗 #INTERSPEECH2024 #BirdWhisperer #Bioacoustics #AI #MachineLearning #WhisperModel #ConservationTech #AIForGood #DeepLearning

Researchers unveil an AI tool that tracks locations through microorganisms, revealing unprecedented potential for medicine, forensics, and disease control. https://lnkd.in/dXXtanRE Scientists have developed a groundbreaking AI tool that can track your location by analyzing microorganisms found on your body. This innovative method, known as Microbiome Geographic Population Structure (mGPS), creates a unique “fingerprint” of the microorganisms that vary depending on where you’ve been. Unlike GPS, which relies on satellites, this tool can identify whether you’ve visited a beach or a park by matching the microbiome samples to specific environments. The mGPS was highly accurate, successfully pinpointing locations for 92% of urban samples. This technology not only has potential applications in health and forensics but can also help trace the spread ... Read more #AItechnology #diseasetracing #environmentalscience #forensicapplications #geographicstructure #LundUniversity #microbiometracking

It’s already day two of the Advances in Marine Ecosystem Modelling Research (AMEMR) Symposium in Plymouth, UK, and climate change is center stage. Michal Grossowicz and Nitsan Avni are presenting how Gigablue applies multidisciplinary Ensemble Programming, expedited by AI, to optimize the efficacy of our marine carbon removal technology. Hats off to Plymouth Marine Laboratory (PML), University of Plymouth, and the Scientific Committee on Oceanic Research for their curation of such a diverse yet focused agenda, bringing together top ecosystem stakeholders and the cutting-edge of science. Without extremely detailed and robustly validated modelling, deployment of carbon capture technologies would remain theoretical exercises. 🌊🌊🌊 #innovation #technology #greentech #data #AI #climatechange #marine #science

New AI Tool Can Track Your Location Using Microorganisms On Your Body Researchers have developed a Microbiome Geographic Inhabitants Construction (mGPS) for location tracing.Scientists have developed an AI instrumen... See more https://lnkd.in/gYJYpjuA

A dung beetle can move in a perfectly straight line with the help of light, wind, external and internal signals. How does it sort and weigh that information? Marie Dacke in Lund is exploring the beetle’s navigation system, potentially leading to better robotics and AI. “Dung beetles are highly mobile when they are rolling the ball – the terrain may be uneven, the sun may be obscured by clouds, woodland trees may block out the sky. Yet still they manage to steer a straight course. We want to understand how they receive and process signals with their eyes and their antennae – how they select information that is relevant and reliable, and process it,” says Wallenberg Schola Marie Dacke, professor of sensory biology at Lund University. https://lnkd.in/dVc5CVra #research #science #biology #robotics #AI #navigation Lund University Marie Dacke Lisa Kirsebom