Publications

33) Kendall Koe, Samhita Marri, Benjamin Walt, Shivani Kamtikar, Naveen Kumar Uppalapati, Girish Krishnan, Girish Chowdhary, “Learning-Based Position and Orientation Control of a Hybrid Rigid-Soft Arm Manipulator,” in Journal of Mechanisms and Robotics, 2025.

32) Kendall Koe, Poojan Kalpeshbhai Shah, Benjamin Walt, Jordan Westphal, Samhita Marri, Shivani Kamtikar, James Seungbum Nam, Naveen Kumar Uppalapati, Girish Krishnan, Girish Chowdhary, “Precision Harvesting in Cluttered Environments: Integrating End Effector Design with Dual Camera Perception,” in IEEE International Conference on Robotics and Automation, 2025.

31) Hsin-Jung Yang∗, Mahsa Khosravi,∗, Benjamin Walt,∗, Girish Krishnan, Soumik Sarkar. Zero-shot Sim-to-Real Transfer for Reinforcement Learning-based Visual Servoing of Soft Continuum Arms. Annual Learning for Dynamics & Control Conference (L4DC) 2025 

30) Van der Laan L, Parmley K, Saadati M, Pacin HT, Panthulugiri S, Sarkar S, Ganapathysubramanian B, Lorenz A, Singh AK. Genomic and phenomic prediction for soybean seed yield, protein, and oil. Plant Genome. 2025.

29) Jones, S.E., Dutta, S., Ayanlade, T.T., Ganapathysubramanian, B., Sarkar, S., Fallen, B., Singh, A.K. 2025. Assessing phenotypic diversity and sensor-based metrics for drought response in soybean. (Crop Science). 

28) Chiranjeevi, Shivani et al. “InsectNet: Real-time identification of insects using an end-to-end machine learning pipeline.” PNAS nexus vol. 4,1 pgae575. 27 Dec. 2024

27) Singh, A. K., Balabaygloo, B. J., Bekee, B., Blair, S. W., Fey, S., Fotouhi, F., Gupta, A., Jha, A., Martinez-Palomares, J. C., Menke, K., Prestholt, A., Tanwar, V. K., Tao, X., Vangala, A., Carroll, M. E., Das, S. K., DePaula, G., Kyveryga, P., Sarkar, S., Segovia, M., Silvestri, S. & Valdivia, C. Smart connected farms and networked farmers to improve crop production, sustainability and profitability. Front. Agron. 6, 1410829 (2024).

26) Khosravi, M., Carroll, M., Tan, K. L., Van der Laan, L., Raigne, J., Mueller, D. S., Singh, A., Balu, A., Ganapathysubramanian, B., Singh, A. K. & Sarkar, S. AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning. arXiv [cs.AI] (2024).

25) Carroll, M. E., Riera, L. G., Miller, B. A., Dixon, P. M., Ganapathysubramanian, B., Sarkar, S. & Singh, A. K. Leveraging soil mapping and machine learning to improve spatial adjustments in plant breeding trials. Crop Sci. 64, 3135–3152 (2024).

24) Hsin-Jung Yang et al., "GENESIS-RL: Generating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning," 2024 IEEE International Automated Vehicle Validation Conference (IAVVC), Pittsburgh, PA, USA, 2024, pp. 1-8, doi: 10.1109/IAVVC63304.2024.10786471. 

23) Singh, A.K., Jones, S.E., Van der Laan, L., Ayanlade, T., Raigne, J., Saleem, N., Joshi, S., Arshad, M.A., ZareMehrjerdi, H., Rairdin., Di Salvo, J., Elango, D., De Azevedo Peixoto, L., Jubery, T.Z., Krishnamurthy, A., Singh, A., Sarkar, S., Ganapathysubramanian, B. 2024. Use of Artificial Intelligence in Soybean Breeding and Production. Advances in Agronomy. Accepted Oct. 2024. 

22) Ayanlade, T., Jones, S.E., Van der Laan, L., Chattopadhyay, S., Elango, D., Raigne, J., Saxena, A., Singh, A., Ganapathysubramanian, B, Singh, A.K., Sarkar, S. 2024. Multi-modal AI for Ultra-precision Agriculture. In: Raval, M.S., Chaudhary, S., Adinarayana, J., Guo, W. (eds) Harnessing Data Science for Sustainable Agriculture and Natural Resource Management. Studies in Big Data, vol 161. Springer Nature. 

21) Jones, S. E., Ayanlade, T. T., Fallen, B., Jubery, T. Z., Singh, A., Ganapathysubramanian, B., Sarkar, S., & Singh, A. K. “Multi-sensor and multi-temporal high-throughput phenotyping for monitoring and early detection of water-limiting stress in soybean.” Plant phenome journal vol. 7,1 (2024)

20) Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R. Waite, Aditya Balu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar, “DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

19) Gaur, S., Drewry, D.T. (2024) Explainable Machine Learning for Predicting Stomatal Conductance Across Multiple Plant Functional Types. Agricultural and Forest Meteorology 350, 109955. https://doi.org/10.1016/j.agrformet.2024.109955.

18) Herr, A.W., Adak, A., Carroll, M.E., Elango, D., Kar, S., Li, C., Jones, S.E., Carter, A.H., Murray, S.C., Paterson, A., Sankaran s., Singh, A., Singh, A.K. 2023. UAS imagery for phenotyping in cotton, maize, soybean, and wheat breeding. Crop Science 63 (4). 

17) Shivani Kamtikar, Kendall Koe, Samhita Marri, Benjamin Walt, Naveen Uppalapati, Girish Krishnan, and Girish Chowdhary, “Visual Servoing for Pose Control of a Hybrid Continuum Manipulator in an Unstructured Environment,” in Conference on Robot Learning, 2023.

16) Benjamin Walt and Girish Krishnan, “Grasp State Classification in Agricultural Manipulation,” in IEEE International Conference on Intelligent Robots and Systems, 2023.

15) Ashlyn Rairdin, Fateme Fotouhi, Jiaoping Zhang, Daren S. Mueller, Baskar Ganapathysubramanian, Asheesh K. Singh, Somak Dutta, Soumik Sarkar, and Arti Singh. (2022). Deep learning-based phenotyping for genome wide association studies of sudden death syndrome in soybean. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2022.966244

14) AlBeladi, A., Ripperger, E., Hutchinson, S., & Girish Krishnan. (2022). Hybrid Eye-in-Hand/Eye-to-Hand Image Based Visual Servoing for Soft Continuum Arms. IEEE Robotics and Automation Letters, 7(4), 11298–11305. https://doi.org/10.1109/LRA.2022.3194690

13) Shivani. Kamtikar, E. Ji, Naveen Kumar Uppalapati, Girish Krishnan and Girish Chowdhary. Realistic Simulation Environments to Achieve Visual Servoing on Soft Continuum Arms in Constrained Environments. Fourth International Workshop on Machine Learning for Cyber-Agricultural Systems (MLCAS 2022).

12) Shivani. Kamtikar, Samhita Marri, Benjamin Thomas Walt, Naveen Kumar Uppalapati, Girish Krishnan and Girish Chowdhary. Visual Servoing for Pose Control of Soft Continuum Arm in a Structured Environment. IEEE Robotics and Automation Letters (RA-L) and IEEE International Conference on Soft Robotics (RoboSoft) 2022. Website

11) Shivani Kamtikar and Samhita Marri and Benjamin Thomas Walt and Naveen Kumar Uppalapati and Girish Krishnan and Girish Chowdhary (2022). Towards Autonomous Berry Harvesting using Visual Servoing of Soft Continuum Arm. AI for Agriculture and Food Systems workshop, AAAI.

10) Soumyashree Kar and Koushik Nagasubramanian and Dinakaran Elango and Ajay Nair and Daren S. Mueller and Matthew E. O Neal and Asheesh K Singh and Soumik Sarkar and Baskar Ganapathysubramanian and Arti Singh (2022). Self-Supervised Learning Improves Agricultural Pest Classification. AI for Agriculture and Food Systems workshop, AAAI.

9)  Minsu Cho and Koushik Nagasubramanian and Asheesh K Singh and Arti Singh and Baskar Ganapathysubramanian and Soumik Sarkar and Chinmay Hegde (2022). Privacy-Preserving Deep Models for Plant Stress Phenotyping. AI for Agriculture and Food Systems workshop, AAAI.

8)  Nagasubramanian, Koushik and Singh, Asheesh and Singh, Arti and Sarkar, Soumik and Ganapathysubramanian, Baskar (2022). Plant Phenotyping with Limited Annotation: Doing More with Less. North American Plant Phenotyping Network (NAPPN) meeting.

7)  Shivani Chiranjeevi and Therin Young and Talukder Zaki Jubery and Koushik Nagasubramanian and Soumik Sarkar and Asheesh K Singh and Arti Singh and Baskar Ganapathysubramanian (2022). Exploring the use of 3D point cloud data for improved plant stress rating. AI for Agriculture and Food Systems workshop, AAAI.

6)  Yasaman Esfandiari and Koushik Nagasubramanian and Fateme Fotouhi and Patrick S. Schnable and Baskar Ganapathysubramanian and Soumik Sarkar (2021). Distributed Deep Learning for Persistent Monitoring of agricultural Fields. NeurIPS 2021 AI for Science Workshop.

5)  Shana Moothedath and Xian Yeow Lee and Talukder Jubery and Baskar Ganapathysubramanian and Soumik Sarkar (2022). A Conservative Stochastic Contextual Bandit Based Framework for Farming Recommender Systems. AI for Agriculture and Food Systems workshop, AAAI.

4)  Nagasubramanian, Koushik and Jubery, Talukder and Fotouhi Ardakani, Fateme and Mirnezami, Seyed Vahid and Singh, Asheesh K and Singh, Arti and Sarkar, Soumik and Ganapathysubramanian, Baskar. (2021). How useful is active learning for image‐based plant phenotyping?. The Plant Phenome Journal. 4

3)  Kamtikar, Shivani and Marri, Samhita and Walt, Benjamin and Uppalapati, Naveen Kumar and Krishnan, Girish and Chowdhary, Girish. (2022). Visual Servoing for Pose Control of Soft Continuum Arm in a Structured Environment. IEEE Robotics and Automation Letters. 7 (2)

2)  Leikas, Jaana and Johri, Aditya and Latvanen, Marko and Wessberg, Nina and Hahto, Antti. (2022). Governing Ethical AI Transformation: A Case Study of AuroraAI. Frontiers in Artificial Intelligence

1)   Riera, Luis G. and Carroll, Matthew E. and Zhang, Zhisheng and Shook, Johnathon M. and Ghosal, Sambuddha and Gao, Tianshuang and Singh, Arti and Bhattacharya, Sourabh and Ganapathysubramanian, Baskar and Singh, Asheesh K. and Sarkar, Soumik. (2021). Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding Applications. Plant Phenomics. 2021