Abstract
Wheat accounts for approximately 20% of the world's caloric intake, making it a vital component of global food security. Given this importance, mapping wheat fields plays a crucial role in enabling various stakeholders, including policy makers, researchers, and agricultural organizations, to make informed decisions regarding food security, supply chain management, and resource allocation. In this paper, we tackle the problem of accurately mapping wheat fields out of satellite images by introducing an improved pipeline for winter wheat segmentation, as well as presenting a case study on a decade-long analysis of wheat mapping in Lebanon. We integrate a Temporal Spatial Vision Transformer (TSViT) with Parameter-Efficient Fine Tuning (PEFT) and a novel post-processing pipeline based on the Fields of The World (FTW) framework. Our proposed pipeline addresses key challenges encountered in existing approaches, such as the clustering of small agricultural parcels in a single large field. By merging wheat segmentation with precise field boundary extraction, our method produces geometrically coherent and semantically rich maps that enable us to perform in-depth analysis such as tracking crop rotation pattern over years. Extensive evaluations demonstrate improved boundary delineation and field-level precision, establishing the potential of the proposed framework in operational agricultural monitoring and historical trend analysis. By allowing for accurate mapping of wheat fields, this work lays the foundation for a range of critical studies and future advances, including crop monitoring and yield estimation.
Abstract (translated)
小麦占全球热量摄入的大约20%，是全球粮食安全的重要组成部分。鉴于其重要性，对小麦田的测绘对于政策制定者、研究人员和农业组织等各方做出关于粮食安全、供应链管理和资源配置的明智决策至关重要。本文提出了一种改进的小麦冬播田分段流程，并通过黎巴嫩十年期小麦测绘案例研究来展示该方法的应用。我们整合了时空视觉变压器（TSViT）与参数高效微调（PEFT），以及基于“世界田野”框架的新颖后处理管道，以应对现有方法中存在的挑战，例如将小型农田合并为一个大型地块的问题。 通过结合小麦分割和精确的田地边界提取，我们的方法生成几何连贯且语义丰富的地图，从而能够进行多年度作物轮作模式等深入分析。广泛的评估显示了改进后的边界划分和田野级精度，证明所提出的框架在操作农业监测和历史趋势分析方面具有潜力。 这项工作为准确测绘小麦田奠定了基础，并为包括作物监测和产量估计在内的各种关键研究和未来进步铺平道路。
URL
https://arxiv.org/abs/2504.11366
