Cadmium (Cd) contamination in soil and crops caused by mining activities has become a prevalent concern in the world. Given that different crops have varying Cd bioaccumulation factors, crops with low Cd bioaccumulation abilities can be selected for the safe usage of Cd -contaminated lands. This study aimed to investigate Cd contamination in soil and crops and the influencing factors of soil Cd activity in a tin mining area (TMA) and control area (CA) and to put forward suggestions for the safe usage of farmlands by developing prediction models of Cd content in different crop grains. We collected 72 and 40 pairs of rice and maize grain samples, respectively, along with their rhizosphere soil samples and 6176 topsoil samples. The results showed that compared with the CA, the Cd pollution was more severe in the cultivated soil and crop grains around TMA. Furthermore, rice has a strong ability to transport Cd from soil to grains, whereas maize has a poor Cd uptake ability. The total organic carbon, CaO, pH, and Mn in soil play key roles in the transfer of Cd from soil to crop grains. Using these parameters and Cd concentration in soil, two sets of accurate Cd prediction models were developed for maize and rice. Based on the Cd concentration in the topsoil and predicted Cd concentration in crop grains, the safe utilization scheme of farmland was proposed. The proportions of priority protection, safe exploitation, planting adjustment, and strict control were 72.59%, 22.77%, 3.16%, and 1.48% in the TMA, respectively. The values reached 80.51% (priority protection), 19.12% (safe exploitation), 0.37% (planting adjustment), and 0% (strict control) in the CA. Thus, given the difference between Cd accumulation in rice and maize, adjustment of planting crops in contaminated farmlands can be applied to maximize the use of farmland resources.

由采矿活动引起的土壤和作物中的镉 (Cd) 污染已成为世界上普遍关注的问题。鉴于不同作物对Cd的生物富集因子不同，可以选择Cd生物富集能力低的作物来安全利用Cd污染土地。本研究旨在调查锡矿区（TMA）和控制区（CA）土壤和作物中的镉污染及土壤镉活性的影响因素，并通过开发镉的预测模型为农田的安全利用提出建议。不同作物谷物中的含量。我们分别收集了 72 对和 40 对水稻和玉米粒样品，以及它们的根际土壤样品和 6176 个表土样品。结果表明，与 CA 相比，TMA周围的耕地和粮食作物的Cd污染更为严重。此外，水稻具有很强的从土壤向谷物输送镉的能力，而玉米吸收镉的能力较差。土壤中的总有机碳、CaO、pH 和 Mn 在 Cd 从土壤转移到作物谷物中起着关键作用。使用这些参数和土壤中的 Cd 浓度，为玉米和水稻开发了两套准确的 Cd 预测模型。根据表层土壤Cd浓度和农作物籽粒Cd浓度预测值，提出农田安全利用方案。重点保护、安全开发、种植调整和严格控制的比例在TMA中分别为72.59%、22.77%、3.16%和1.48%。值达到 80.51%（优先保护）、19.12%（安全利用）、0。CA 为 37%（种植调整），0%（严格控制）。因此，考虑到水稻和玉米中镉积累量的差异，可以对受污染农田的种植作物进行调整，以最大限度地利用农田资源。