Dr. Rizvankhan Ghasura, Assistant Professor, Kamdhenu University, Navsari
Brief Bio: Dr. Rizvankhan S. Ghasura is an Assistant Professor in the Department of Veterinary and Animal Husbandry Extension Education at the College of Veterinary Science and Animal Husbandry, Kamdhenu University, Navsari Campus, Gujarat State, India. He holds a doctoral degree in Veterinary and Animal Husbandry Extension Education. Dr. Ghasura's research interests lie in the areas of extension education, livestock management, and sustainable agriculture. His research aims to bridge the gap between scientific knowledge and its practical application in the field of veterinary and animal husbandry. Dr. Ghasura actively participates in community outreach programs and extension activities. He works closely with farmers, livestock owners, and other stakeholders
Title of Talk: Tech Transformation in Livestock Management: Pioneering AI
Abstract of Talk: The integration of cutting-edge technology, particularly Artificial Intelligence (AI), has revolutionized traditional practices in the livestock sector. This workshop aims to explore the groundbreaking impact of AI in livestock management, emphasizing its role in enhancing efficiency, productivity, and animal welfare. The session will delve into various facets of AI implementation in the livestock industry, focusing on its applications in data analysis, predictive modeling, and real-time monitoring. Attendees will gain insights into how AI-driven solutions empower farmers and stakeholders to make informed decisions, optimize resource allocation, and proactively address health and environmental challenges. The session will delve into various facets of AI implementation in the livestock industry, focusing on its applications in data analysis, predictive modeling, and real-time monitoring. Attendees will gain insights into how AI-driven solutions empower farmers and stakeholders to make informed decisions, optimize resource allocation, and proactively address health and environmental challenges.
Dr. Prabhat Kumar Pankaj, Principal Scientist (Livestock Production and Management) at ICAR-CRIDA, Hyderabad
Brief Bio: Dr Prabhat Kumar Pankaj obtained PhD (LPM) from ICAR-National Dairy Research Institute, Karnal in 2006. He received Bachelor’s degree in Veterinary Sciences and Animal Husbandry in 2000 from College of Veterinary Science & A.H., Jabalpur followed by master degree in Veterinary Sciences with specialization in Livestock Production and Management from ICAR-National Dairy Research Institute, Karnal in 2003. He has diversified research and development experience of varied agro-ecology and conditions as well as all species of livestock management ranging from cattle/buffalo/sheep/goat/pig and poultry. He has led projects on good management practices and its adoption in different agro-ecosystems. He has developed low cost housing system for dryland regions of India, good management practices for livestock at farmers field for improved livelihood security, Organic fodder production, and so on.
Title of Talk: Scope of AI/ ML for Precision Livestock Management in India
Abstract of Talk: Precision livestock farming is important in new era for integrating modern technologies and tools to improve efficiency and sustainability in livestock production. As the demand for animal products (milk/meat/egg/byproducts) has been growing, traditional animal rearing cannot meet out the requirements and expectations in the limited space spared for this activity. Livestock farming is the single largest contributors to Indian GDP and employment, thus adding IT tools and techniques in all the aspects of management, nutrition, health, marketing and processing will improve the working efficiency of the sector. Yield gap, technological gap, extension gap between current and potential can be bridged with the use of several such IT tools. So there is need of suitable and proper managemental techniques which can improve the efficiency of production. Precision livestock farming using AI/ML tools can be an important option in this context. Precision Livestock Farming is principally the sensor-based livestock management that define animal needs and automatically delivers individual management applications. It encompasses collection of data from animals and their environment, by innovative, simple and low-cost techniques, followed by evaluation of the data by using knowledge-based computer models. Real time data can be used to monitor animals and create exception reports to identify meaningful deviations from the normal pattern so that management and control activities can be automated. The data provided using these tools can be extremely valuable, but only if they are managed properly. Keeping the potential problem areas in mind when dealing with Precision livestock farming devices and making them a priority in a daily management routine will lessen the risk of mistakes.
Dr. Roopam Shukla, Assistant Professor, IIT Roorkee
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Title of Talk: What Gets Measured is What Get Assessed: Pitfalls to Avoid in Agroecology Research in India
Abstract of Talk: Understanding the evolution of Agroecology principles within the Indian agricultural landscape over the past three decades is essential for fostering sustainable and resilient farming practices. However, this endeavor presents multifaceted challenges, including the analysis of extensive textual data, tracking evolving discourse, and quantifying the prominence of Agroecology principles. For our case study, we leveraged Natural Language Processing (NLP) and Machine Learning (ML) text-mining approaches to unravel the intricacies of Agroecology literature evolution in India from 1989 to 2023. Our findings support evidence-based decision-making and the promotion of sustainable agriculture. This underscores the benefits and potential challenges of applying advanced computational techniques in agroecological research, contributing to the broader discussion on technology and sustainable farming.
Dr. Mahesh Mohan M. R., Assistant Professor, IIT Kharagpur
Brief Bio: Mahesh Mohan M R is an Assistant Professor in the Centre of Excellence in Artificial Intelligence at the IIT Kharagpur. He is also an Affiliate Researcher at the University of Illinois Urbana Champaign, US. Previously, he was a Postdoctoral Researcher in the Coordinated Science Laboratory, University of Illinois Urbana-Champaign from 2021-2023. He received his Ph.D. in Electrical Engineering from IIT Madras in 2021. He heads the “Signal processing and AI” group in IIT Kharagpur, where the group performs basic research in the intersection of Signal Processing with Deep Learning and Computer Vision (with a focus on Agriculture applications).
Title of Talk: Complex Valued AI for Agriculture
Abstract of Talk: Apart from real-valued signals, there exist many physical complex-valued signals which play an important role in agriculture, e.g., synthetic aperture radar. The capabilities of synthetic aperture radar in agriculture can be categorized into: crop identification and distribution statistics, cropland parameter estimation, and crop yield estimation. In addition, traditional research has amply demonstrated the merits of complex representation of real-valued data (e.g., Fourier representation and analysis of images). Present-day deep learning typically employ real-valued neural networks. In this context, this talk presents some real life applications of complex-valued signals, and ways to process complex-valued signals in AI.
Dr. A. P. Ruhil, Principal Scientist, National Dairy Research Institute
Brief Bio: Dr. Anand Prakash Ruhil obtained his Graduate degree in Mathematical Statistics from Delhi University (1984), Master’s degree in Mathematics from Annamalai University (1993), and PhD in Computers from Jawaharlal Nehru University, New Delhi, in the year 2005. He is working as Principal Scientist (Computer applications) at ICT Unit, ICAR HQs New Delhi. Prior to this he had served for more than 30 year at National Dairy Research Institute, Karnal. Dr. Ruhil has extensively worked on the applications of Soft Computing, Deep Learning and Sensor Network in the area of dairying. He has developed a number of predictive models with higher accuracy using emerging Machine Learning and deep learning techniques to monitor animal behavior, prediction of lifetime milk yield of dairy animals, sensory attributes of dairy products, estrus detection of buffalos based on vocalization, lameness detection etc.
Title of Talk: Prospects of Artificial Intelligence in Livestock Management
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Sanjutha Indrajit, SatSure
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Dr. Debabrata Sethi (Director , ICAR Indian Institute of Water Management ) and Dr. Arjamadutta Sarangi (Scientist-SS (Veterinary Extension)
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Title of Talk: IoT applications in Agricultural Water Management
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