Jianqiang Sun

Research Center for Agricultural Information Technology, National Agriculture and Food Research Organization (NARO), Tsukuba, Ibaraki, JAPAN.

Researches

AI in Agriculture

I am actively working on developing methods that harness artificial intelligence to address challenges in agriculture. One example is using image analysis to identify key agricultural organisms, such as pests and diseases on crop leaves. Additionally, I am exploring techniques to predict the severity of future disease and pest outbreaks by analyzing historical outbreak data.

• Akiyama R, Goto T, Tameshige T, Sugisaka J, Kuroki K, Sun J, Akita J, Hatakeyama M, Kudoh H, Kenta T, Tonouchi A, Shimahara Y, Sese J, Kutsuna N, Shimizu-Inatsugi R^*, Shimizu KK^*. Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation. Nat. Commun., 2023, 14:5792. doi: 10.1038/s41467-023-41260-3
• Kishi S^*, Sun J, Kawaguchi A, Ochi S, Yoshida M, Yamanaka T, Characteristic features of statistical models and machine learning methods derived from pest and disease monitoring datasets. Royal Soc. Open Sci., 2023, doi: 10.1098/rsos.230079
• Sun J^*, Cao W, Fu X, Ochi S, Yamanaka T. Few-shot learning for plant disease recognition: A review. Agron. J., 2023, doi: 10.1002/agj2.21285 10.1002/csan.21101
• Sun J^*, Cao W, Yamanaka T. JustDeepIt: Software tool with graphical and character user interfaces for deep learning-based object detection and segmentation in image analysis. Front. Plant Sci., 2022, 13:964058. doi: 10.3389/fpls.2022.964058
• Sun J^*, Futahashi R, Yamanaka T. Improving the accuracy of species identification by combining deep learning with field occurrence records. Front. Ecol. Evol., 2021, 9:762173. doi: 10.3389/fevo.2021.762173

Plant Science & Bioinformatics

My research in plant science focuses on RNA-seq data analysis to understand gene functions. I am also developing bioinformatics tools for this purpose. One of my main research areas is in allopolyploid plants, formed through the hybridization of closely related species such as wheat and bittercress. I am also interested in analyzing RNA-seq data from viroids, the smallest known plant pathogens.

• Sun J^*, Matsushita Y. Predicting symptom severity in PSTVd‐infected tomato plants using the PSTVd genome sequence. Mol. Plant Pathol., 2024, 25(7):e13469. doi: 10.1111/mpp.13469
• Sun J, Okada M, Tameshige T, Shimizu-Inatsugi, Akiyama, Nagano AJ, Sese J, Shimizu KK^*. A low-coverage 3′ RNA-seq to detect homeolog expression in polyploid wheat. NAR Genom Bioinform., 2023, 5(3):1. doi: 10.1093/nargab/lqad067
• Akiyama R, Sun J, Hatakeyama M, Lischer HEL, Briskine RV, Hay A, Gan X, Tsiantis M, Kudoh H, Kanaoka M M, Sese J, Shimizu KK, Shimizu-Inatsugi R^*. Fine-scale empirical data on niche divergence and homeolog expression patterns in an allopolyploid and its diploid progenitor species. New Phytol., 2021, 229(6):3587-3601. doi: 10.1111/nph.17101
• Sun J, Shimizu-Inatsugi R, Hofhuis H, Shimizu K, Hay A, Shimizu KK, Sese J^*. A recently formed triploid Cardamine insueta inherits leaf vivipary and submergence tolerance traits of parents. Front. Genet., 2020, 11:567262. doi: 10.3389/fgene.2020.567262