1 AIT Asian Institute of Technology

A model to predict crop water requirements

AuthorGupta, Krishan Lal
Call NumberAIT Thesis no. WA-79-11
Subject(s)Plants--Water requirements--Mathematical models
NoteA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology
PublisherAsian Institute of Technology
AbstractIrrigation to increase or guarantee crop production in humid areas has utmost importance to minimize. system capacity; To achieve this effective rainfall must he used effectively and efficiently to meet part of irrigation requirements. The supplemental irrigation requirement may be estimated which are just enough so that it neither causes a water deficit nor it creates the hazard of water-logging. One way to achieve this objective is through computer programs. A model is presented in this study for calculating optimal irrigation requirements for four crops viz. rice, peanut, cucumber and maize. This model was tested for verification for the Khon Kaen province of Thailand. The model requires crop data (planting date, length of growing season etc), maximum and minimum temperature and relative humidity data," daily rainfall and monthly data for daytime wind, radiation or sunshine, cloudiness, and pan evaporation data. Using the data, the model determines actual crop-evapotranspiration, probable rainfall based on past 10 years of rainfall data, when to irrigate and how much to irrigate in addition to seasonal actual crop-evapotranspiration, effective rainfall and losses due to surface, if any, based on both daily actual rainfall and probable rainfall.
Year1980
TypeThesis
SchoolSchool of Engineering and Technology
DepartmentDepartment of Civil and Infrastucture Engineering (DCIE)
Academic Program/FoSWater Resources Research Engineering (WA)
Chairperson(s)Eggers, Helmut
Examination Committee(s)Apichart Anukularnphai ;Olesen, Svend Elsnab
Scholarship Donor(s)The Royal Netherlands Government
DegreeThesis (M.Eng.) - Asian Institute of Technology, 1980


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