Bog’bon nomli uy sharoitida o’simliklarni parvarish qilishni o’rgatuvchi dasturiy ta’minot ishlab chiqish
Annotatsiya
Maqolada uy o’simliklarini parvarish qilish bo’yicha foydalanuvchilarga ko’maklashuvchi "Bog’bon" nomli mobil ilovaning loyihasi taqdim etilgan. Ishning ilmiy yangiligi quyidagilardan iborat: birinchidan, o’simlikni surat orqali aniqlashda transfer learning yondashuvi qo’llanilgan; ikkinchidan, parvarish jadvalini hisoblash uchun fiziologik talab modeli ishlab chiqilgan; uchinchidan, kasallikni dastlabki bosqichda aniqlashda kompyuter ko’rish algoritmi qo’llanilgan. Maqolada CNN modelining tuzilmasi, sug’orish chastotasini hisoblashning matematik shakli va o’simlik kasalliklari tasniflagichining aniqligi ko’rsatilgan.
Kalit so’zlar: uy o’simliklari, transfer learning, CNN, o’simlik aniqlash, sug’orish modeli, kompyuter ko’rish, mobil ilova, fitopatologiya
##submission.citations##
1. Mohanty S. P., Hughes D. P., Salathé M. Using deep learning for image-based plant disease detection // Frontiers in Plant Science. — 2016. — Vol. 7. — Article 1419.
2. Howard A., Sandler M., Chu G. et al. Searching for MobileNetV3 // Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). — 2019. — P. 1314–1324.
3. Allen R. G., Pereira L. S., Raes D., Smith M. Crop evapotranspiration: Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56. — Rome: FAO, 1998. — 300 p.
4. Pan S. J., Yang Q. A survey on transfer learning // IEEE Transactions on Knowledge and Data Engineering. — 2010. — Vol. 22, No. 10. — P. 1345–1359.
5. Hughes D. P., Salathé M. An open access repository of images on plant health to enable the development of mobile disease diagnostics // arXiv preprint arXiv:1511.08060. — 2015.
