Improved Approach to Irrigation Scheduling Programs

Pleban, Shlomo; Israeli, Israel

doi:10.1061/(asce)0733-9437(1989)115:4(577)

Cited by 10 publications

(4 citation statements)

References 8 publications

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“…Furthermore, the result was used to analyze the differences of the 10day irrigation absolute water consumptions in paddy fields in different areas under various recurrent periods. Pleban and Israeli (1989) advocated on-farm water balance as the normal method for deciding how much water to apply per irrigation. Cavero et al (2000) applied CROPWAT model to simulate maize grain yield reduction caused by water stress under semiarid conditions.…”

Section: Introductionmentioning

confidence: 99%

Estimation irrigation water requirements with derived crop coefficients for upland and paddy crops in ChiaNan Irrigation Association, Taiwan

Kuo

Liu

2006

Agricultural Water Management

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Section: Introductionmentioning

confidence: 99%

Estimation irrigation water requirements with derived crop coefficients for upland and paddy crops in ChiaNan Irrigation Association, Taiwan

Kuo

Liu

2006

Agricultural Water Management

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“…However, the adoption by farmers is low, especially in developing countries (Annandale et al, 2011, Fanadazo et al, 2010. The major reasons for low adoption are reported to be lack of soil water parameters and weather conditions (Torres, 1998), and complexity of the techniques such that farmers are confused by choice and do not understand the difference between the different scheduling techniques (Stirzaker, 2006), failure of the scientist to understand the situation of farmers and the constraints under which they operate (Vanclay, 2003;Pleban and Israeli, 1989). Much of the studies are focused on the exact science of irrigation scheduling rather than simple and practical measures that would improve farmers decision (Maheshwari et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

A participatory and practical irrigation scheduling in semiarid areas: the case of Gumselassa irrigation scheme in Northern Ethiopia

Yohannes

Ritsema

Eyasu

et al. 2019

Agricultural Water Management

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Poor irrigation scheduling practices have been quoted as the major challenges for sustainability of small-scale irrigation schemes in Ethiopia due to complexity of scheduling techniques, cost and inaccessibility of soil-water monitoring tools, lack of various local climatic data and soil-water parameters. For local experts to easily schedule irrigation and to promote adoption by farmers, a cheap and simple computation procedure of irrigation scheduling is needed that considers local resources and opinions. So far, there is no such study in the context of Ethiopia. A simple irrigation scheduling method (Practical) was developed based on the FAO procedure (Brouwer et al., 1989), employing Hargreaves ET0 equation and the opinions of local farmers and extension agents. Then, the method was validated on-farm through participatory and close observation of farmers by comparing with CropWat simulated (Sophisticated) and local (Traditional) scheduling practices for 2015and 2015/16 irrigation seasons considering maize as indicator crop. Data on irrigation depths, yield and yield components and soil salinity were collected and analysed. Furthermore, a farmers' day was arranged to collect opinions on the crop stand and scheduling techniques. In both irrigation seasons, the practical irrigation schedule method resulted in higher grain yield while saving substantial amount of water and in significantly higher water productivity (WP) compared to the other methods. Maximum (0.68 kg m -3 in 2015) and minimum (0.47 kg m -3 in 2015/16) WP were found in the practical and sophisticated approaches, respectively. The average root zone salinities among the alterative irrigation scheduling methods were not significantly different, in both irrigation seasons. Farmers' and experts' opinions were in favour of the practical scheduling method. The practical irrigation scheduling method is thus recommended for maize, around Gumselassa area. Further, the presented procedure can be adopted for preparation of irrigation calendars of other cops and in other regions.

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“…(i) development of an ET model which is (a) performing equally well over all locations in the world, and (b) easily implementable by a non-expert user [3 ]. (ii) unique choice of climatic variables (CV) among the possible candidates.…”

Section: Introductionmentioning

confidence: 99%

Modeling evapotranspiration: Some issues resolved

Prasad

2012

2012 Annual IEEE India Conference (INDICON)

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Evapotranspiration (ET) is an essential parameter for estimation of irrigation water requirements. Climatic variables (CV) along with soil and plant variables are known to influence ET exhibiting completely different patterns at some locations because of multicollinearity (MC). These factors, coupled with the complex phenomenon of transpiration have been largely responsible for the development of a large number of ET models. However, none of the models has been found to be satisfactory for all locations. Researchers have analyzed the causes as the lack of understanding of (i) the physics of transpiration, (ii) the separation of the process of transpiration from pure evaporation. Researchers now look for Artificial Neural Networks (ANN).They have claimed that use of ANN is very promising and competing against the existing popular models. But the problem with ANN is two-fold: several trials are involved in training with different combinations of variables, and requirements of large number of reliable data. This background has provided motivations for the study in this paper. The goal is to develop a procedure for identifying the minimum number of variables which must be considered for use in the ANN approach, and serve to choose the particular model/models for the location. The experiments conducted in this study use climatic data (CD) of over fifteen locations, falling in different climatic regions of the world. It is shown that much of the labor and cost involved in selecting the best combination of variables in ANN can be drastically reduced. Also, it reduces the burden of data collection program, besides answering the question of why some models perform poorly and some others do well. Tools employed for development of the procedure are: singular value decomposition (SVD), and variance decomposition proportions (VDP).

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Improved Approach to Irrigation Scheduling Programs

Cited by 10 publications

References 8 publications

Estimation irrigation water requirements with derived crop coefficients for upland and paddy crops in ChiaNan Irrigation Association, Taiwan

Estimation irrigation water requirements with derived crop coefficients for upland and paddy crops in ChiaNan Irrigation Association, Taiwan

A participatory and practical irrigation scheduling in semiarid areas: the case of Gumselassa irrigation scheme in Northern Ethiopia

Modeling evapotranspiration: Some issues resolved

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