An intelligent front-end for selecting evapotranspiration estimation methods
TL;DR: An intelligent front-end expert system (ETES), that has been developed to select suitable ET estimation methods under South Indian climatic conditions, is presented and would be of much potential use in irrigation management in developing countries like India.
About: This article is published in Computers and Electronics in Agriculture.The article was published on 1995-06-01. It has received 12 citations till now.
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TL;DR: The adoptability and suitability of ES applications in the domain of irrigation management is reviewed, showing that the ES approach is applied more recently to broader domain areas in contrast to earlier systems that were focused on narrower domain problems.
52 citations
TL;DR: In this paper, the Blaney-Criddle equation was calibrated based on the Penman-Monteith equation for every month of the year by using the meteorological data of seven synoptic stations inside and outside Fars province, in the south of Iran.
Abstract: The Penman–Monteith equation is the most common equation for estimating reference crop evapotranspiration (ETo). However, this equation needs full meteorological data, but few meteorological stations with complete meteorological data exist in Fars province, in the south of Iran. On the other hand, the Blaney–Criddle equation is a simpler alternative for estimating ETo compared with the Penman–Monteith equation. In this study, the Blaney–Criddle equation was calibrated based on the Penman–Monteith equation for every month of the year by using the meteorological data of seven synoptic stations inside and seven synoptic stations outside Fars province. For this purpose, the calibration coefficients of the Blaney–Criddle equation (a and b) were determined for all months at different stations, separately. Furthermore, in a new approach the mean monthly temperature in the Blaney–Criddle equation was replaced with the effective temperature for each station in the study area. The ETo values based on the new approach of the Blaney–Criddle equation were better than the results of the original Blaney–Criddle equation when compared to the Penman–Monteith equation as the reference equation. The calculated values of a were negative for all months and stations, and ranged between −4.84 and −0.84. Lowest a values were obtained in May, July and June, and the highest a values were obtained in December, November and January, i.e. the values of a were greater in cold months than warm months of the year. The values of b were positive for all months and stations, and ranged between 0.71 and 1.89. December, January and November showed the lowest b values while June, July and August showed the highest. Therefore, the values of b were greater in warm months than cold months of the year. Moreover, the range of variation of a values was larger than for the b values which implied that the a values have more impact on the estimations of ETo. Copyright © 2008 John Wiley & Sons, Ltd.
L'equation de Penman-Monteith est l'equation la plus commune pour estimer l'evapotranspiration de reference (ETo). Cependant, cette equation a besoin de donnees meteorologiques completes mais peu de stations meteorologiques avec ces donnees completes existent dans la province de Fars, au sud de l'Iran. Or l'equation de Blaney-Criddle est une alternative plus simple pour estimer ETo. Dans cette etude, l'equation de Blaney-Criddle a ete calibree sur la base de l'equation de Penman-Monteith pour chaque mois de l'annee en employant les donnees meteorologiques de sept stations synoptiques interieures et de sept stations synoptiques en dehors de la province de Fars. A cette fin, les coefficients de calibrage de l'equation de Blaney-Criddle (a et b) ont ete determines pour tous les mois dans differentes stations, separement. En outre, dans une nouvelle approche la temperature moyenne mensuelle de l'equation de Blaney-Criddle a ete remplacee par la temperature effective pour chaque station du secteur d'etude. Les valeurs d'ETo basees sur la nouvelle approche de l'equation de Blaney-Criddle etaient meilleures que les resultats de l'equation originale de Blaney-Criddle une fois comparees a l'equation de Penman-Monteith comme equation de reference. Les valeurs calculees de a etaient negatives pour touts les mois et stations, s'etendant de - 4.84 a - 0.84. Les plus basses valeurs de a ont ete obtenues en mai, juillet et juin, et les plus hautes ont ete obtenues en decembre, novembre et janvier, c.-a-d., les valeurs de a etaient plus grandes pour les mois froids que pour les mois chauds. Les valeurs de b etaient positives pour tous les mois et stations, s'etendant entre 0.71 a 1.89. Decembre, janvier et novembre ont montre les valeurs les plus basses de b tandis que juin, juillet et aout montraient les plus hautes. Par consequent, les valeurs de b etaient plus grandes pour les mois chauds que pour les mois froids. De plus, la variabilite de a etait plus grandes que celle de b ce qui signifie que a influence plus les evaluations d' ETo. Copyright © 2008 John Wiley & Sons, Ltd.
32 citations
TL;DR: In this paper, the authors used the Blaney-Criddle (BC) model and temperature forecasts to forecast the daily reference evapotranspiration (ETo) for real-time irrigation scheduling.
Abstract: Accurate daily reference evapotranspiration (ETo) forecast is essential for real-time irrigation scheduling. An attempt was made to forecast ETo using the Blaney–Criddle (BC) model and temperature forecasts in this study. Daily meteorological data for the period 2000–2014 at five stations in East China were collected to calibrate and validate the BC model against the FAO56 Penman–Monteith (FAO56-PM) model. Temperature forecasts up to 7 days’ lead time for 2012–2014 were input to the calibrated BC model to forecast ETo. It is found that the performance of the BC model for ETo forecast is further improved at all stations after monthly calibration. Average accuracy of forecasted ETo (error within 1.5 mm d−1) ranged from 82.7% to 89.3%, average values of mean absolute error (MAE) varied between 0.73 and 0.82 mm d−1, average values of root mean square error (RMSE) ranged from 0.95 to 1.08 mm d−1, and average values of the correlation coefficient (R) and concordance index (d) were more than 0.75 and 0.8...
23 citations
Cites background from "An intelligent front-end for select..."
...Reference evapotranspiration (ETo) is an important parameter for climatological and hydrological studies, as well as irrigation planning and management (Mohan & Arumugam 1995; Sentelhas et al. 2010)....
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TL;DR: In this paper, the authors provide a better understanding of the development of intelligent agriculture (IA) in China, which is an important tendency in advancing the agricultural productivity in the coming era, considering publications as featured evidence of an emerging phenomenon.
Abstract: The purpose of this paper is to provide a better understanding of the development of intelligent agriculture (IA) in China, which is an important tendency in advancing the agricultural productivity in the coming era.,Considering publications as featured evidence of an emerging phenomenon, the authors review publications of IA. Specifically, the use of term, definition and examples of IA, both English and Chinese literature, and government policies of China are all reviewed. Additionally, the authors use basic statistical and thematic analysis to help synthesizing the literature and drawing conclusions. Findings from various sources of publications supplement with each other.,IA in China has shown three main characteristics: unbalanced geographic distribution, an early stage of the trend and attention mainly focused on a limited range of technologies. Compared with the development of IA in other countries, such as Japan, India and the USA, featured with diversified properties, similarities and differences of IA development in China and in other countries are also discussed.,This general review contributes by uncovering the emergence of IA, identifying its general definition with a comprehensive set of practical examples and pointing out the present characteristics and problems of IA development in China. The general review provides a necessary summary for the policy makers and researchers to have a systematic understanding of IA and better promote its future development. At last, the paper calls for a process-based strategy with different goals at different stages, a sustainable mechanism coordinated by multiple participants, and a localized consideration for relevant policy making.
17 citations
TL;DR: An optimisation-based environmental decision support system (EDSS) was developed for supporting sustainable rural development and demonstrated that EDSS could help analyse the complex relationships among multiple socio-economic and environmental factors, and provide recommendations of scientific management strategies for achieving local sustainability.
Abstract: Sustainable development has been widely recognised as an effective means for harmonising human society and natural systems. However, achieving the goal of sustainability is difficult since many conflicting factors have to be balanced due to the complexities of real-world problems. Previously, many efforts have been made to clarify the concept of sustainable development and to develop related theoretical and practical tools. Nevertheless, there is still a lack of effective methods that can integrate optimisation of resources allocation and visualisation of spatial and temporal dimensions of socio-economic and environmental interactions within a general framework. In this study, an optimisation-based environmental decision support system (EDSS) was developed for supporting sustainable rural development. The system included a dynamic database system, a graphical user interface, and a mixed integer linear programming (MILP) model. Yongxin County, located in Jiangxi Province, China, was chosen as the study cas...
15 citations
Cites background from "An intelligent front-end for select..."
...Mohan and Arumugam (1995) proposed an intelligent front-end expert system (ETES) for supporting selection of suitable evapotranspiration estimation tools under South Indian climatic conditions....
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References
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TL;DR: In this article, the large-scale parameterization of the surface fluxes of sensible and latent heat is properly expressed in terms of energetic considerations over land while formulas of the bulk aerodynamic type are most suitahle over the sea.
Abstract: In an introductory review it is reemphasized that the large-scale parameterization of the surface fluxes of sensible and latent heat is properly expressed in terms of energetic considerations over land while formulas of the bulk aerodynamic type are most suitahle over the sea. A general framework is suggested. Data from a number of saturated land sites and open water sites in the absence of advection suggest a widely applicable formula for the relationship between sensible and latent heat fluxes. For drying land surfaces, we assume that the evaporation rate is given by the same formula for evaporation multiplied by a factor. This factor is found to remain at unity while an amount of water, varying from one site to another, is evaporated. Following this a linear decrease sets in, reducing the evaporation rate to zero after a further 5 cm of evaporation, the same at several sites examined.
5,918 citations
TL;DR: In this paper, an equation is presented that estimates ETo from measured values of daily or mean values of maximum and minimum temperature. But this equation is compared with various other methods for estimating ETo.
Abstract: MEASURED lysimeter evapotranspiration of Alta fescue grass (a cool season grass) is taken as an index of reference crop evapotranspiration (ETo). An equation is presented that estimates ETo from measured values of daily or mean values of maximum and minimum temperature. This equation is compared with various other methods for estimating ETo. The equation was developed using eight years of daily lysimeter data from Davis, California and used to estimate values of ETo for other locations. Comparisons with other methods with measured cool season grass evapotranspiration at Aspendale, Australia; Lompoc, California; and Seabrook, New Jersey; with lysimeter data from Damin, Haiti; and with the modified Penman for various locations in Bangladesh indicated that the method usually does not require local calibration and that the estimated values are probably as reliable and useable as those from the other estimating methods used for comparison. Considering the scarcity of complete and reliable climatic data for estimating crop water requirements in developing countries, this proposed method can do much to improve irrigation planning design and scheduling in the developing countries.
3,252 citations
01 Jan 1977
TL;DR: Guidelines for predicting crop water requirements as mentioned in this paper, which are based on guidelines for predicting water requirements, are used to predict water requirements in the field of crop water forecasting, and they can be found in Table 1.
Abstract: Guidelines for predicting crop water requirements , Guidelines for predicting crop water requirements , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی
2,098 citations
Book•
01 Jan 1977
TL;DR: Guidelines for predicting crop water requirements as discussed by the authors, which are based on guidelines for predicting water requirements, are used to predict water requirements in the field of crop water forecasting, and they can be found in Table 1.
Abstract: Guidelines for predicting crop water requirements , Guidelines for predicting crop water requirements , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی
1,780 citations