In this work, we propose a mixed integer linear programming formulation for the strategic planning of a livestock operation over a multi-period horizon. The model aims to optimize the overall revenue of the operation while explicitly accounting for the complex biological, operational, and economic constraints inherent to livestock breeding systems. These constraints include herd dynamics, breed...

This research discusses the creation and evaluation of an IoT-enabled hydroponic system built for controlled laboratory production of rice under 29 nutritional variation treatments within a greenhouse setting. The system featured automated watering, real-time monitoring, and continuous data logging to adjust temperature, humidity, pH, and electrical conductivity, ensuring exact environmental an...

This work presents an AI system powered by artificial intelligence and based on deep learning for diagnosing and detecting plant diseases. Using a CNN that has been trained and optimized on the Plant Village dataset, major crops such as tomatoes, potatoes, and bell peppers can have their illnesses properly classified. The method provides comprehensive diagnostic data, including taxonomy, organi...