Publications

2025

Grijalva, I., Adams, H. B., & McCornack, B. (2025). A fine-tuned deep learning model for detecting Japanese beetles in soybeans using unmanned aircraft systems (UAS) and mobile imaging. Machine Learning with Applications, 21, 100711. https://doi.org/10.1016/j.mlwa.2025.100711

2024

Grijalva, I., Adams H.B., Clark, N., & McCornack, B. (2024). Detecting and counting sorghum aphid alates using smart computer vision models. Ecological Informatics 80:102540. https://doi.org/10.1016/j.ecoinf.2024.102540

Grijalva, I., Skidmore, A.R., Milne, M.A., Olaya-Arenas, P., Kaplan, I., Foster, R.E., & Yaninek, J. S. (2024). Integrated pest management enhances biological control in a US midwestern agroecosystem by conserving predators and non-pest prey. Agriculture, Ecosystems & Environment 368:109009. https://doi.org/10.1016/j.agee.2024.109009   

Grijalva, I., Kang, Q., Flippo, D., Sharda, A., & McCornack, B. (2024). Unconventional strategies for aphid management in sorghum. Insects 15(7):475. https://doi.org/10.3390/insects15070475

Grijalva, I., Clark, N., Hamilton, E., Orpin, C., Perez, C., Schaefer, J., Vogts, K., & McCornack, B. (2024). Comprehensive wheat coccinellid detection dataset: essential resource for digital entomology. Data in Brief 110585  https://doi.org/10.1016/j.dib.2024.110585.

Rahman, R., Indris C., Bramesfield G., Zhang T., Li K., Chen X., Grijalva I., McCornack B., Flippo B., Sharda A., & Wang, G. (2024). A new dataset and comparative study for real-time aphid cluster detection and segmentation. Journal of Imaging 10 (5): 114.  https://doi.org/10.3390/jimaging10050114

Craigie, G., Hefley, T., Grijalva, I., Ciampitti, I. A., Goodin, D. G., & McCornack, B. (2024). Detecting sorghum aphid infestation in grain sorghum using leaf spectral response. Sci Rep 14, 14053. https://doi.org/10.1038/s41598-024-64841-8

2023

Grijalva, I., Spiesman, B., & McCornack, B. (2023). Computer vision model for sorghum aphid detection using deep learning. Journal of Agriculture and Food Research, 13, 100652. https://doi.org/10.1016/j.jafr.2023.100652  

Zhang, T., Li, K., Chen, X., Zhong, C., Luo, B., Grijalva, I., McCornack, B., Flippo, D., Sharda, A. & Wang, G. (2023). Aphid cluster recognition and detection in the wild using deep learning models. Sci Rep 13, 13410. https://doi.org/10.1038/s41598-023-38633-5

Wang, C., Grijalva, I., Caragea, D., & McCornack, B. (2023). Detecting of common coccinellids found in sorghum using deep learning models. Sci Rep 13, 9748. https://doi.org/10.1038/s41598-023-36738-5

Zhang, T., Li, K., Chen, X., Zhong, C., Luo, B., Grijalva, I., McCornack, B., Flippo, D., Sharda, A., & Wang, G. (2023). A new dataset and comparative study for aphid cluster detection. In 2nd AAAI Workshop on AI for agriculture and food systems. https://doi.org/10.48550/arXiv.2307.05929

2022

Grijalva, I., Spiesman, B., & McCornack, B. (2022). Image classification of sugarcane aphid density using deep convolutional neural networks. Smart Agricultural Technology, 3, 100089. https://doi.org/10.1016/j.atech.2022.100089

2019

Milne, M. A., Louderman, J., Foster, B., Grijalva, I., Lewis, J. J., Bishop, L., Deno, B. L., Acosta, J., Frandsen, L., & Stern, E. More spiders in Indiana: 100 new and updated distribution records. In Proceedings of the Indiana Academy of Science (Vol. 128, No. 1, pp. 87-105 (2019)). https://www.researchgate.net/publication/339036734