Soilless growing systems in greenhouses, known as controlled environment agriculture, are being enhanced by an interdisciplinary team from Penn State, who are advancing agricultural productivity through precision techniques. Their automated crop-monitoring system continuously collects and analyzes data on plant growth, transforming traditional and labor-intensive methods into a more efficient workflow. By leveraging IoT, AI, and computer vision technologies, this innovative approach allows for real-time monitoring, which optimizes plant management throughout their growth cycles, thus addressing the sustainability and competitiveness of year-round crop production.
Traditionally, crop monitoring in controlled environment agriculture soilless systems is a critical, time-consuming task requiring specialized personnel. Automated systems allow continuous monitoring.
The integration of internet of things, AI, and computer vision enables continuous monitoring and analysis of plant growth, marking a significant advancement in agricultural technology.
#controlled-environment-agriculture #soilless-growing-systems #precision-agriculture #automation #crop-monitoring
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