Beef Cow Behaviour Prediction using Deep Learning
Using granular accelerometer data and advanced Time Series algorithms (LSTM, RNN, Transformers) to classify behaviors.
Using granular accelerometer data and advanced Time Series algorithms (LSTM, RNN, Transformers) to classify behaviors.
Designing a unified pipeline to merge, clean, and prepare heterogeneous data from sensors and loggers for analysis.
Employing State-of-the-Art (SOTA) machine learning algorithms on commercially created datasets to detect lameness.
Leveraging Natural Language Processing to analyze consumer sentiment on whole milk and provide actionable insights for organic dairy systems.
Large-scale data management using cloud architectures to analyze milking data, environmental variables, and genetics.
Research and development of an intelligent conversational agent to assist dairy management and decision-making.
Published in Int J Vet Sci, 2019
Recommended citation: Neupane, R, Kaphle, K,. (2019) “Bacteriological quality of poultry meat in Nepal”. Int J Vet Sci.
Recommended citation: Neupane, R, Kaphle, K,. (2019) "Bacteriological quality of poultry meat in Nepal". Int J Vet Sci.
Published in Archives of Veterinary Science and Medicine, 2020
Recommended citation: Maharjan, Bishal, Neupane, Rajesh, Bhatta, Dikar Dev,. (2020) “Antibiotic residue in marketed broiler meat of Kathmandu Metropolitan City”. Archives of Veterinary Science and Medicine. 3(1): 1-10.
Recommended citation: Maharjan, Bishal, Neupane, Rajesh, Bhatta, Dikar Dev,. (2020) "Antibiotic residue in marketed broiler meat of Kathmandu Metropolitan City". Archives of Veterinary Science and Medicine. 3(1): 1-10.
Published in Nepalese Veterinary Journal, 2020
Recommended citation: Neupane, R, Kaphle, K,. (2020) “Recent dynamics of poultry production in Nepal: Food security to sustainable production”. Nepalese Veterinary Journal. Pages: 179-190.
Recommended citation: Neupane, R, Kaphle, K,. (2020) "Recent dynamics of poultry production in Nepal: Food security to sustainable production". Nepalese Veterinary Journal. Pages: 179-190.
Published in Veterinary Sciences: Research and Reviews, 2022
Recommended citation: Rana, C, Subedi, D, Kunwar, S, Neupane, R, Shrestha, B, Khan, S, Singh, DK, Kaphle, K,. (2022) “Cystic urolithiasis in dogs: A case report and review of the literature”. Veterinary Sciences: Research and Reviews. 8(1): 1-7.
Recommended citation: Rana, C, Subedi, D, Kunwar, S, Neupane, R, Shrestha, B, Khan, S, Singh, DK, Kaphle, K,. (2022) "Cystic urolithiasis in dogs: A case report and review of the literature". Veterinary Sciences: Research and Reviews. 8(1): 1-7.
Published in nan, 2024
Recommended citation: Rana, Chandrakala, Subedi, Deepak, Kunwar, Shanti, Neupane, Rajesh, Shrestha, Birendra, Khan, Sharun, Singh, Dinesh, Kaphle, Krishna,. (2024) “Cystic Urolithiasis in Dogs: A Case Report and Review of The Literature”.
Recommended citation: Rana, Chandrakala, Subedi, Deepak, Kunwar, Shanti, Neupane, Rajesh, Shrestha, Birendra, Khan, Sharun, Singh, Dinesh, Kaphle, Krishna,. (2024) "Cystic Urolithiasis in Dogs: A Case Report and Review of The Literature".
Published in Plos one, 2024
Recommended citation: Neupane, Rajesh, Aryal, Ashrant, Haeussermann, Angelika, Hartung, Eberhard, Pinedo, Pablo, Paudyal, Sushil,. (2024) “Evaluating machine learning algorithms to predict lameness in dairy cattle”. Plos one. 19(7): e0301167.
Recommended citation: Neupane, Rajesh, Aryal, Ashrant, Haeussermann, Angelika, Hartung, Eberhard, Pinedo, Pablo, Paudyal, Sushil,. (2024) "Evaluating machine learning algorithms to predict lameness in dairy cattle". Plos one. 19(7): e0301167.
Published in Animal-Science proceedings, 2025
Recommended citation: Neupane, R, Pinedo, P, Paudyal, S,. (2025) “134. Use computer vision to detect different digital dermatitis conditions”. Animal-Science proceedings. 16(4): 741-743.
Recommended citation: Neupane, R, Pinedo, P, Paudyal, S,. (2025) "134. Use computer vision to detect different digital dermatitis conditions". Animal-Science proceedings. 16(4): 741-743.
Published in Animal-Science proceedings, 2025
Recommended citation: Neupane, R, Shrestha, B, Paudyal, S,. (2025) “44. Evaluating effects of heat stress on the efficacy of robotic milking systems”. Animal-Science proceedings. 16(4): 572-573.
Recommended citation: Neupane, R, Shrestha, B, Paudyal, S,. (2025) "44. Evaluating effects of heat stress on the efficacy of robotic milking systems". Animal-Science proceedings. 16(4): 572-573.
Published in Animal-Science proceedings, 2025
Recommended citation: Neupane, R, Shrestha, B, Rodriguez, N, Paudyal, S,. (2025) “93. AI-driven quantification of heat stress in dairy cattle”. Animal-Science proceedings. 16(4): 666-667.
Recommended citation: Neupane, R, Shrestha, B, Rodriguez, N, Paudyal, S,. (2025) "93. AI-driven quantification of heat stress in dairy cattle". Animal-Science proceedings. 16(4): 666-667.
Published in JDS Communications, 2025
Recommended citation: Paudyal, Sushil, Piñeiro, Juan M, Pilati, Artur Grando, Dauscheck, Douglas, Shrestha, Bhuwan, Neupane, Rajesh,. (2025) “Evaluating the impact of milk sample-based pregnancy test procedures on milk production and daily time budgets of dairy cows.”. JDS Communications.
Recommended citation: Paudyal, Sushil, Piñeiro, Juan M, Pilati, Artur Grando, Dauscheck, Douglas, Shrestha, Bhuwan, Neupane, Rajesh,. (2025) "Evaluating the impact of milk sample-based pregnancy test procedures on milk production and daily time budgets of dairy cows.". JDS Communications.
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Course, Texas A&M University, Department of Animal Science, 2025
This course introduces students to the fundamental principles of animal science, covering livestock, companion animals, and management practices.
Course, Texas A&M University, Department of Animal Science, 2025
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Course, Texas A&M University, Department of Animal Science, 2025
Graduate Teaching Assistant for ANSC Dairy Science — supported lectures, grading, accommodations, and student engagement.
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Rajesh’s expertise in data handling and statistical analysis was invaluable.
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Rajesh’s support in handling complex accelerometer data was crucial.
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Dr. Shrestha validates Rajesh’s machine learning and data processing skills.