Identifying Soil and Plant Nutrition Factors Affecting Yield in Irrigated Mature Pistachio Orchards
Identifying Soil and Plant Nutrition Factors Affecting Yield in Irrigated Mature Pistachio Orchards
复制标题
确定影响成熟灌溉开心果园产量的土壤和植物营养因素
DOI：
10.1080/00103624.2018.1464186
复制
发表时间：
2018
影响因子：
1.8
通讯作者：
Ali Asghar Besalatpour
中科院分区：
文献类型：
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作者：
I. Esfandiarpour;Seyed Javad Hosseinifard;H. Shirani;M. Zeinadini;Ali Asghar Besalatpour
摘要本研究的主要目的是评估混合遗传算法-人工神经网络（GA-ANN）方法预测阿月浑子产量和确定影响伊朗拉夫桑贾地区阿月浑子产量的决定因素的潜在用途。随机抽取142个阿月浑子果园，在三个深度采集土壤样品。此外，在每个采样点采集了水样和无果实枝条的叶片。管理信息和阿月浑子产量通过完成问卷调查。首先，测定了影响阿月浑子产量的58个变量，然后使用特征选择（FS）方法通过最小化均方误差（MSE）从其中选择了26个变量。结果表明，该方法的准确度是可以接受的。敏感性分析表明，影响阿月浑子产量的主要因素是灌水量、叶片磷、土壤可溶性镁、电导率和叶片氮。
ABSTRACT The main objective of this study was to evaluate the potential use of a hybrid Genetic Algorithm-Artificial Neural Network (GA–ANN) method for predicting pistachio yield and for identifying the determinant factors affecting pistachio yield in Rafsanjan region, Iran. A total of 142 pistachio orchards were selected randomly and soil samples were taken at three depths. Besides, water samples and leaves from branches without fruit were taken in each sampling point. Management information and pistachio yields were achieved by completing a questionnaire. Primarily, 58 variables affecting pistachio yield were measured, and then 26 out of them were selected by minimizing mean square error (MSE) using a feature selection (FS) method. The results showed that the accuracy of the method was acceptable. Furthermore, the sensitivity analysis showed that the main determinant features affecting the pistachio yield were the irrigation water amount, leaf phosphorus, soil soluble magnesium, electrical conductivity (EC), and leaf nitrogen.