Digital Twins in Agriculture: Orchestration and Applications

Abstract

Digital Twins have emerged as an outstanding opportunity for precision farming, digitally replicating in real-time the functionalities of objects and plants. A virtual replica of the crop, including key agronomic development aspects such as irrigation, optimal fertilization strategies, and pest management, can support decision-making and a step change in farm management, increasing overall sustainability and direct water, fertilizer, and pesticide savings. In this review, Digital Twin technology is critically reviewed and framed in the context of recent advances in precision agriculture and Agriculture 4.0. The review is organized for each step of agricultural lifecycle, edaphic, phytotechnologic, postharvest, and farm infrastructure, with supporting case studies demonstrating direct benefits for agriculture production and supply chain considering both benefits and limitations of such an approach. Challenges and limitations are disclosed regarding the complexity of managing such an amount of data and a multitude of (often) simultaneous operations and supports.

Artificial Intelligence for Precision and Sustainable Agricultural

“…Moreover, AI facilitates predictions of long-term sustainability, driving innovation toward a more sustainable and productive food system. In genetic analysis and crop breeding, AI enables scientists to identify crucial traits such as yield, disease resistance, and nutritional content by analyzing genetic data . This precision accelerates the breeding process, allowing researchers to create resilient crops that address climate change and food security challenges.…”