FLUTTER ASOSIDAGI O‘SIMLIKLARNI TANISH VA SOG‘LOMLIGINI TAHLIL QILISH
DOI:
https://doi.org/10.5281/zenodo.15762891Keywords:
o‘simliklarni tanish, Sun’iy intellect, Flutter ilova, Qishloq xo‘jaligi, O‘simlik sog‘lig‘i, Mobil dastur, Google Vision API, Perenual API, Hosildorlikni oshirishAbstract
Ushbu maqolada “Yashil Makon” nomli mobil ilova haqida ma’lumot beriladi. Ilova Flutter platformasida ishlab
chiqilgan bo‘lib, foydalanuvchiga o‘simliklarning nomini, sog‘lig‘i va oziqlanish holatini aniqlash imkoniyatini yaratadi. Bu
jarayonda Google Vision API va Perenual Plant API singari sun’iy intellekt asosidagi texnologiyalar qo‘llanilgan. Ilova
qishloq xo‘jaligida hosildorlikni oshirish va ekologik muammolarni bartaraf qilishda katta ahamiyatga ega bo‘lishi mumkin
References
Singh, A., Ganapathysubramanian, B., Singh, A. K., & Sarkar, S. (2016). Machine learning for high-throughput stress
phenotyping in plants. Trends in plant science, 21(2), 110-124.
Mohanty, S. P., Hughes, D. P., & Salathé, M. (2016). Using deep learning for image-based plant disease detection.
Frontiers in plant science, 7, 1419.
Google Developers. (2024). Flutter Documentation. https://flutter.dev/docs
Perenual Plant API. (2025). https://perenual.com/docs
Google Cloud Vision API. (2024). https://cloud.google.com/vision
Rustamov, A., & Xasanov, B. (2021). Oʻsimliklar holatini sun’iy intellekt yordamida baholash texnologiyalari. Qishloq
xo‘jaligi innovatsiyalari, 3(1), 45-52.
Nurmatov, D. (2022). Mobil ilovalar orqali agrotexnik monitoring tizimlarini rivojlantirish. Axborot texnologiyalari va
dasturlash, 5(2), 78-84.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 YASHIL IQTISODIYOT VA TARAQQIYOT
This work is licensed under a Creative Commons Attribution 4.0 International License.