| Image classification of sugarcane aphid density using deep convolutional neural networks I Grijalva, BJ Spiesman, B McCornack Smart Agricultural Technology 3, 100089, 2023 | 39* | 2023 |
| Aphid cluster recognition and detection in the wild using deep learning models T Zhang, K Li, X Chen, C Zhong, B Luo, I Grijalva, B McCornack, D Flippo, ... Scientific Reports 13 (1), 13410, 2023 | 24 | 2023 |
| Detecting common coccinellids found in sorghum using deep learning models C Wang, I Grijalva, D Caragea, B McCornack Scientific Reports 13 (1), 9748, 2023 | 21 | 2023 |
| Integrated pest management enhances biological control in a US midwestern agroecosystem by conserving predators and non-pest prey I Grijalva, AR Skidmore, MA Milne, P Olaya-Arenas, I Kaplan, RE Foster, ... Agriculture, Ecosystems & Environment 368, 109009, 2024 | 17 | 2024 |
| Computer vision model for sorghum aphid detection using deep learning I Grijalva, BJ Spiesman, B McCornack Journal of Agriculture and Food Research 13, 100652, 2023 | 16 | 2023 |
| Detecting and counting sorghum aphid alates using smart computer vision models I Grijalva, HB Adams, N Clark, B McCornack Ecological Informatics 80, 102540, 2024 | 14 | 2024 |
| Detecting sorghum aphid infestation in grain sorghum using leaf spectral response G Craigie, T Hefley, I Grijalva, IA Ciampitti, DG Goodin, B McCornack Scientific Reports 14 (1), 14053, 2024 | 8 | 2024 |
| A new dataset and comparative study for aphid cluster detection and segmentation in sorghum fields R Rahman, C Indris, G Bramesfeld, T Zhang, K Li, X Chen, I Grijalva, ... https://doi.org/10.3390/jimaging10050114 10 (5), 114, 2024 | 8 | 2024 |
| A new dataset and comparative study for aphid cluster detection T Zhang, K Li, X Chen, C Zhong, B Luo, I Grijalva, B McCornack, D Flippo, ... 2nd AAAI Workshop on AI for Agriculture and Food Systems, 2023 | 4 | 2023 |
| Self-supervised component segmentation to improve object detection and classification for bumblebee identification JC Choton, V Margapuri, I Grijalva, BJ Spiesman, WH Hsu bioRxiv, 2025.03. 12.642757, 2025 | 3 | 2025 |
| Comprehensive wheat coccinellid detection dataset: Essential resource for digital entomology I Grijalva, N Clark, E Hamilton, C Orpin, C Perez, J Schaefer, K Vogts, ... Data in Brief 55, 110585, 2024 | 3 | 2024 |
| Evaluation of four solid growth media for the in vitro production of the entomopathogenic nematode Heterorhabditis bacteriophora I Grijalva Zamorano Pan-American Agricultural School, 2014 | 3* | 2014 |
| More spiders in Indiana: 100 new and updated distribution records MA Milne, J Louderman, B Foster, I Grijalva, JJ Lewis, L Bishop, BL Deno, ... Proceedings of the Indiana Academy of Science 128 (1), 87-105, 2019 | 2 | 2019 |
| Unconventional strategies for aphid management in sorghum I Grijalva, Q Kang, D Flippo, A Sharda, B McCornack Insects 15 (7), 475, 2024 | 1 | 2024 |
| A fine-tuned deep learning model for detecting Japanese beetles in soybeans using unmanned aircraft systems (UAS) and mobile imaging I Grijalva, HB Adams, B McCornack Machine Learning with Applications, 100711, 2025 | | 2025 |
| Unconventional strategies for aphid management using smart computer vision models in sorghum I Grijalva | | 2023 |
| Graduate Scholar: A Pesky Pest P Melgares Seek 12 (1), 11, 2022 | | 2022 |
| Impact of insecticides on cucumber beetles (Coleoptera: Chrysomelidae) and spider predators in watermelon and corn I Grijalva Purdue University Graduate School, 2019 | | 2019 |
| Predators–the hunt begins: Benefits of IPM in commercial watermelon production I Grijalva, A Skidmore, R Foster, S Yaninek Entomology 2019, 2019 | | 2019 |
| Commercial insecticide practices reduce natural enemies and opportunities for IPM in midwest watermelon production S Yaninek, A Skidmore, I Grijalva, R Foster Entomology 2019, 2019 | | 2019 |
Brian J. SpiesmanAssistant Professor, Kansas State UniversityVerified email at ksu.edu
