The canopy temperature is a promising methodology for deficit irrigation scheduling. This measurement is used to calculate the crop water stress index (CWSI), which needs the estimation of non-water stress baseline (NWSB). In olive orchards, NWSB changed at different times of the day and throughout the season. The aim of this work was to evaluate a simplified methodology for estimating NWSB to allow reducing costs and facilitate the CWSI estimation. The experiment was performed during two consecutive seasons (2020 and 2021) in a young super-intensive density olive orchard (Olea europaea L. cv Manzanillo). Three irrigation treatments were evaluated in a completely randomized design with 6 repetitions: Control, Full Irrigated; Regulated Deficit Irrigation (RDI) with a period of water stress during pit hardening, and Rainfed. The midday stem water potential and leaf conductance were measured every week during the irrigation season. The canopy temperature was measured with a low-cost thermal camera attached to a tablet. The CWSI was estimated for the same trees used to measure the midday stem water potential and leaf conductance. The NWSB was calculated in different ways, considering several simplifications. Firstly, NWBS was obtained using previously published equations (one or several equations throughout the season). Secondly, climate data were measured in the orchard together with the canopy temperature or using daily values from a weather station nearby. CWSI estimations using different equations were closely related (R² = 0.95; MSE = 0.008) and one fit was considered successful. Although the differences in the values from different sources was considerable and significant, the CWSI estimation did not present major variations and the use of data from the weather station could be assumed in commercial orchards. The CWSI successfully identified water stress in Rainfed conditions, mainly when the stomata closure was detected. However, the differentiation between Control and RDI was limited.

冠层温度是一种很有前景的亏缺灌溉调度方法。该测量用于计算作物水分胁迫指数（CWSI），需要估计非水分胁迫基线（NWSB）。在橄榄园中，NWSB 在一天中的不同时间和整个季节发生变化。这项工作的目的是评估估算 NWSB 的简化方法，以降低成本并促进 CWSI 估算。该实验连续两个季节（2020 年和 2021 年）在一个年轻的超密集密度橄榄园（Olea europaeaL. cv Manzanillo）。三种灌溉处理在完全随机的设计中进行了 6 次重复评估：对照、完全灌溉；调节亏缺灌溉 (RDI)，在坑硬化和雨养期间有一段时间的缺水。在灌溉季节每周测量中午茎水势和叶片电导率。树冠温度是用连接在平板电脑上的低成本热像仪测量的。CWSI 是针对用于测量正午茎水势和叶片电导率的相同树木估算的。NWSB 以不同的方式计算，考虑了一些简化。首先，NWBS 是使用先前发布的方程（整个赛季的一个或几个方程）获得的。第二，气候数据是在果园中与树冠温度一起测量的，或者使用附近气象站的每日值。使用不同方程的 CWSI 估计密切相关（R² =  0.95；MSE  =  0.008）并且一次拟合被认为是成功的。尽管来自不同来源的值的差异相当大且显着，但 CWSI 估计没有出现重大变化，并且可以假设在商业果园中使用来自气象站的数据。CWSI 成功识别了雨养条件下的水分胁迫，主要是在检测到气孔关闭时。然而，Control 和 RDI 之间的区别是有限的。