AI-BASED SOLUTIONS IN AGRICULTURE: FERTILIZER PREDICTION AND TOMATO DISEASE DETECTION USING MACHINE LEARNING AND COMPUTER VISION

АУЫЛ ШАРУАШЫЛЫҒЫНДАҒЫ ЖАСАНДЫ ИНТЕЛЛЕКТ НЕГІЗІНДЕГІ ШЕШІМДЕР: МАШИНАЛЫҚ ОҚЫТУ ЖӘНЕ КОМПЬЮТЕРЛІК КӨРУ АРҚЫЛЫ ТЫҢАЙТҚЫШТАРДЫ БОЛЖАУ ЖӘНЕ ҚЫЗАНАҚ АУРУЛАРЫН АНЫҚТАУ
РЕШЕНИЯ НА ОСНОВЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В СЕЛЬСКОМ ХОЗЯЙСТВЕ: ПРОГНОЗИРОВАНИЕ УДОБРЕНИЙ И ОБНАРУЖЕНИЕ БОЛЕЗНЕЙ ТОМАТОВ С ИСПОЛЬЗОВАНИЕМ МАШИННОГО ОБУЧЕНИЯ И КОМПЬЮТЕРНОГО ЗРЕНИЯ
Svambayeva A.S. Zhabagin R.N.
2025 Kazakh-British Technical University

Herald of the Kazakh British Technical UNiversity
2025 #22 Issue 3 134 - 148 pp.

This research is aimed at using artificial intelligence to improve agricultural practice in Kazakhstan. It focuses on tomato leaf disease detection and fertilizer optimization. Deep learning models – including GoogleNet (InceptionV3), VGG16, ResNet50, MobileNetV2, and a custom Convolutional Neural Network (CNN)–were evaluated for disease detection. GoogleNet had the highest accuracy of 99.72%, which shows its capability to detect tomato leaf diseases. For the optimization of the fertilizer, different machine learning-based models, namely Decision Trees, K-Nearest Neighbors, CNN, Gradient Boosting Decision Tree, LogitBoost were assessed using various PCA features. The CNN model that used six PCA features achieved the best accuracy at 97.58%. This shows how good features can help in prediction. The results show using AI technologies can significantly increase the agricultural productivity and sustainability of Kazakhstan through precise detection of diseases and optimized use of resources. In the future studies, models should be deployed to the real-time system of agriculture and also should be expanded to more crops and conditions.

agriculture , artificial intelligence , computer vision , convolutional neural networks , deep learning , fertilizer optimization , machine learning , optimization , plant disease detection , predictive modeling

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Kazakh-British Technical University, Almaty, Kazakhstan

Kazakh-British Technical University

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