Beef Cow Behaviour Prediction using Deep Learning
Using granular accelerometer data and advanced Time Series algorithms (LSTM, RNN, Transformers) to classify behaviors.
Posts by Collection
portfolio
Highly Optimized Data Engineering Pipeline
Designing a unified pipeline to merge, clean, and prepare heterogeneous data from sensors and loggers for analysis.
Lameness Prediction using AI & Sensor Data
Employing State-of-the-Art (SOTA) machine learning algorithms on commercially created datasets to detect lameness.
NLP-Dairy: Sentiment and Strategic Insights
Leveraging Natural Language Processing to analyze consumer sentiment on whole milk and provide actionable insights for organic dairy systems.
Robotic Milking Data Analysis
Large-scale data management using cloud architectures to analyze milking data, environmental variables, and genetics.
Smart Dairy Chat Application
Research and development of an intelligent conversational agent to assist dairy management and decision-making.
publications
Bacteriological quality of poultry meat in Nepal
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.
Antibiotic residue in marketed broiler meat of Kathmandu Metropolitan City
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.
Recent dynamics of poultry production in Nepal: Food security to sustainable production
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.
Cystic urolithiasis in dogs: A case report and review of the literature
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.
Cystic Urolithiasis in Dogs: A Case Report and Review of The Literature
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".
Evaluating machine learning algorithms to predict lameness in dairy cattle
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.
- Use computer vision to detect different digital dermatitis conditions
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.
- Evaluating effects of heat stress on the efficacy of robotic milking systems
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.
- AI-driven quantification of heat stress in dairy cattle
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.
Evaluating the impact of milk sample-based pregnancy test procedures on milk production and daily time budgets of dairy cows.
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.
Impact of pen move events on rumination time, milk yield, and water intake in dairy cows
Published in JDS Communications, 2026
Recommended citation: Neupane, R., Fagundo, N., & Paudyal, S. (2026). “Impact of pen move events on rumination time, milk yield, and water intake in dairy cows”. JDS Communications.
Recommended citation: Neupane, R., Fagundo, N., & Paudyal, S. (2026). "Impact of pen move events on rumination time, milk yield, and water intake in dairy cows". JDS Communications.
Impact of Summer Calving on Milk Production, Reproduction, and Culling Risk in Organic Dairy Cattle
Published in Ruminants, 2026
Recommended citation: Shrestha, B., Neupane, R., & Paudyal, S. (2026). “Impact of Summer Calving on Milk Production, Reproduction, and Culling Risk in Organic Dairy Cattle”. Ruminants. 6(1).
Recommended citation: Shrestha, B., Neupane, R., & Paudyal, S. (2026). "Impact of Summer Calving on Milk Production, Reproduction, and Culling Risk in Organic Dairy Cattle". Ruminants. 6(1).
Dynamics of culling risk of Holstein cows in U.S. organic dairy herds
Published in Journal of Dairy Science, 2026
Recommended citation: Shrestha, B., Pinedo, P. J., Neupane, R., Valeris-Chacin, R., Piñeiro, J. M., & Paudyal, S. (2026). “Dynamics of culling risk of Holstein cows in U.S. organic dairy herds”. Journal of Dairy Science. DOI: 10.3168/jds.2025-28205.
Recommended citation: Shrestha, B., Pinedo, P. J., Neupane, R., Valeris-Chacin, R., Piñeiro, J. M., & Paudyal, S. (2026). "Dynamics of culling risk of Holstein cows in U.S. organic dairy herds". Journal of Dairy Science. DOI: 10.3168/jds.2025-28205.
Characterization of failed milking events in a voluntary milking system
Published in Journal of Dairy Science, 2026
Recommended citation: Neupane, R., Ceja, G., Daigle, C., Tedeschi, L. O., Khanal, P., Valeris-Chacin, R., Xu, Z., & Paudyal, S. (2026). “Characterization of failed milking events in a voluntary milking system”. Journal of Dairy Science. DOI: 10.3168/jds.2025-28232.
Recommended citation: Neupane, R., Ceja, G., Daigle, C., Tedeschi, L. O., Khanal, P., Valeris-Chacin, R., Xu, Z., & Paudyal, S. (2026). "Characterization of failed milking events in a voluntary milking system". Journal of Dairy Science. DOI: 10.3168/jds.2025-28232.
Evaluating machine learning algorithms based on thermal imaging and milk-based parameters to identify subclinical mastitis in dairy cows
Published in Veterinary Quarterly, 2026
Recommended citation: Neupane, R., Paudyal, S., Shrestha, B., Chiang, H.-I., & Aryal, A. (2026). “Evaluating machine learning algorithms based on thermal imaging and milk-based parameters to identify subclinical mastitis in dairy cows”. Veterinary Quarterly.
Recommended citation: Neupane, R., Paudyal, S., Shrestha, B., Chiang, H.-I., & Aryal, A. (2026). "Evaluating machine learning algorithms based on thermal imaging and milk-based parameters to identify subclinical mastitis in dairy cows". Veterinary Quarterly.
talks
Use of Machine Learning Tools for Disease Surveillance in Dairy Cattle
Published:
Oral presentation highlighting the integration of computer vision, sensor architectures, and machine learning models for real-time health and disease monitoring in dairy farms.
Machine Learning Approaches to Predict Lameness in Dairy Cattle
Published:
Poster presentation on deploying machine learning models for early and preclinical detection of gait abnormalities using accelerometer data.
Characterizing Failed Milking Events in a Robotic Milking System
Published:
Oral presentation on analyzing causes of milking failures in robotic systems, helping dairy farms optimize efficiency.
Evaluating the Effects of Heat Stress on Robotic Milking Systems
Published:
Poster presentation analyzing how heat stress impacts robotic milking frequency, cow flow, and overall automation performance.
teaching
ANSC 111
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.
ANSC 429
Course, Texas A&M University, Department of Animal Science, 2025
Graduate Teaching Assistant for ANSC Dairy Science — supported lectures, grading, accommodations, and student engagement.
testimonials
Testimonial 1
Published:
Rajesh’s expertise in data handling and statistical analysis was invaluable.
Testimonial 2
Published:
Rajesh’s support in handling complex accelerometer data was crucial.
Testimonial 3
Published:
Dr. Shrestha validates Rajesh’s machine learning and data processing skills.