Next-Generation Farming Advisor for Integrated Crop, Pest, and Yield Optimization

Abstract

The increasing requirement for food production, combined with climate variability and limited natural resources, has speed up the need for levelheaded and sustainable agricultural practice. Advances in the Internet of Things (IoT), wireless sensor net, and artificial intelligence have enabled data - force preciseness agriculture through real - clip monitoring and machine-driven decision support. This newspaper presents a Next - Generation Farming Advisor for integrated crop testimonial, pest forecasting, and yield optimization. The proposed system collects real - time data from soil sensors measuring wet, pH, and nutrient content, along with environmental sensors monitoring temperature, humidity, and light intensity, and employs long - range low - power LoRa communication to ensure honest information transmission in rural and remote farming regions. Machine learning models analyze historical and real - time information to mother actionable insights such as optimal crop selection, betimes pest risk alerts, intelligent irrigation scheduling, and buckle under prediction. By belittle excessive use of water, fertilizers, and pesticides, the organisation amend resource exercise while enhancing crop productivity and sustainability. The integrated advisory fabric supports informed decision - qualification, scalability across diverse agricultural landscapes, and eco - favorable farming recitation, making it a practical and affordable solution for next - generation precision agriculture.