precision agriculture

Advanced YOLO models for real-time detection of tomato leaf diseases

The increasing focus on smart agriculture in the last decade can be attributed to various factors, including the adverse effects of climate change, frequent extreme weather events, increasing population, the necessity for food security, and the scarcity of natural resources.  The government of Morocco adopts preventative measures to combat plant illnesses, specifically focusing on tomatoes.  Tomatoes are widely acknowledged as one of the most important vegetable crops, but they are highly vulnerable to several diseases that significantly decrease their productivity.  De

Revolutionizing tomato pest management: Synergy of Deep Learning, IoT, and Precision Agriculture

The increasing worldwide demand for agricultural goods, particularly tomatoes, underscores the need for effective pest control.  Key pests such as Whiteflies, Fruit Fly, and Helicoverpa Armigera pose significant threats to tomato crops.  This research proposes a novel approach by integrating modern technologies such as deep learning and the Internet of Things (IoT) to revolutionize traditional pest management methods.  Using a portable Pest Counting Device equipped with the YOLOv8 deep learning model on a Raspberry Pi 4B, coupled with the Firebase IoT platform, facilita