Machine learning techniques in estimation of eggplant crop evapotranspiration
نویسندگان
چکیده
Abstract This study predicted the daily evapotranspiration of eggplant ( Solanum melongena L.) under full and deficit irrigation in Bafra district Samsun province, Turkey, using machine learning methods. Artificial neural networks (ANNs), deep (DNN), M5 model tree (M5Tree), random forest (RF), support vector (SVM), k -nearest neighbor (kNN), adaptive boosting were investigated as approaches. Determination this consists three methods: (i) The reference (ET o ) was obtained from Food Agriculture Organization-56 Penman–Monteith equation, (ii) values c calculated by multiplying crop coefficient K ), (iii) a measured soil water balance between successive measurements outputs. model’s performance ET estimation higher when minimum maximum temperature T max min wind speed u 2 average relative humidity (RH avg solar radiation R s days year used inputs. best ANN with determination value 0.984, mean absolute error (MAE) 0.098 mm d −1 , root-mean-square (RMSE) 0.153 Nash–Sutcliffe efficiency 0.983. significantly improved addition leaf area index (LAI) height h to climate parameters (MAE RMSE decreased 22.6 23.2%, respectively). accuracy for some plant traits LAI) sufficient. statistical estimating RF RH parameters. DNN proved be least successful compared other six models predicting .
منابع مشابه
Estimating Evapotranspiration using Machine Learning Techniques
The measurement of evapotranspiration is the most important factor in irrigation scheduling. Evapotranspiration means loss of water from the surface of plant and soil. Evaporation parameters are being used in studying water balances, water resource management, and irrigation system design and for estimating plant growth and height as well. Evapotranspiration is measured by different methods by ...
متن کاملEstimation of Potential Evapotranspiration and Crop Coefficient of Maize at Rupandehi District of Nepal
This study was conducted to determine the potential evapotranspiration (PET) of maize, the crop coefficient (Kc) under full water requirement as well as the cause of decrease in maize yield. It was determined that the seasonal PET of maize is about 486.6 mm. The Kc under full water supply was found to be: 0.11, 0.35, 1.51 and 0.34 for initial, development, midseason and the late season stages r...
متن کاملEstimation of Potential Evapotranspiration and Crop Coefficient of Wheat at Rupandehi District of Nepal
This study is carried out to estimate the potential evapotranspiration (PET) and crop coefficient (Kc) for Wheat, BL 3235 variety. A lysimeter is installed to estimate PET at the experimental farm of Agricultural Research Center of Bhairahawa, which is located in western part of Nepal. The Blaney-Criddle formula is used to estimate the Kc for wheat. The estimated values of PET and Kc for wheat ...
متن کاملEstimation of Crop Evapotranspiration of Cotton using Remote Sensing Technique
Crop coefficient values are used to estimate crop evapotranspiration (ETc) for determining irrigation scheduling. Many important crop biophysical properties such as Percentage Vegetation Cover and Leaf Area Index can be estimated from remotely sensed Vegetation Index, in order to quantify real time vegetation growth dynamics. The objective of this study was to understand the effectiveness of ba...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Water Science
سال: 2023
ISSN: ['2190-5495', '2190-5487']
DOI: https://doi.org/10.1007/s13201-023-01942-1