Supplemental data for "Using NDVI For Variable Rate Cotton Irrigation Prescriptions"

This is digital research data corresponding to a published manuscript, "Using NDVI For Variable Rate Cotton Irrigation Prescriptions", in Applied Engineering in Agriculture, 2022, Volume 38(5): 787-795. doi:10.13031/aea.15071.  
Irrigation timing is crucial for achieving high cotton yields and lint quality. This irrigation timing is more challenging in the southeastern U.S. Coastal Plain region due to its spatial variable sandy soils with low water and nutrient holding capacities and rainfall variability during the growing season. To address these challenges, we conducted a 2-year (2017 and 2018) study evaluating two irrigation scheduling methods under a variable rate irrigation system. The two irrigation methods were: (1) a uniform irrigation management based on weekly crop water usage, and (2) spatial crop coefficients derived from normalized difference vegetation indices (NDVI). We compared cotton yields and water use efficiency using the two irrigation scheduling methods at two different planting densities. The two plant populations were 5 and 11.5 plants m-1 of row to provide different NDVI readings and water requirements.

本数据集对应于已发表的研究论文《基于NDVI的棉花变率灌溉处方》，发表于《应用农业工程》2022年第38卷第5期，页码787-795。DOI：10.13031/aea.15071。灌溉时间对于实现高棉花产量和纤维质量至关重要。在美国东南部沿海平原地区，由于其空间变异性强的沙质土壤、低的水和养分保持能力以及生长季节内的降雨量变化，灌溉时间的选择尤为困难。为了应对这些挑战，我们进行了为期两年的（2017年和2018年）研究，评估了在变率灌溉系统下两种灌溉调度方法。这两种灌溉方法分别是：（1）基于每周作物水分消耗的统一灌溉管理；（2）从归一化植被指数（NDVI）中导出的空间作物系数。我们比较了在两种不同的种植密度下，使用这两种灌溉调度方法所获得的棉花产量和水分利用效率。两种种植密度分别为每米行距5株和11.5株，以提供不同的NDVI读数和水分需求。