Development of an irrigation scheduling software based on model predicted crop water stress

Computers and Electronics in Agriculture

Volumn 143, Issue , 2017, Pages 208-221

  Gu, Zhe ^a,b   Qi, Zhiming ^b   Ma, Liwang ^c   Gui, Dongwei ^d   Xu, Junzeng ^e   Fang, Quanxiao ^f   Yuan, Shouqi ^a   Feng, Gary ^c  

^a JIANGSU UNIVERSITY   (China)

^b MCGILL UNIVERSITY   (Canada)

^c AGRICULTURAL RESEARCH SERVICE   (United States)

^d XINJIANG INSTITUTE OF ECOLOGY AND GEOGRAPHY   (China)

^e HOHAI UNIVERSITY   (China)

^f QINGDAO AGRICULTURAL UNIVERSITY   (China)

Author keywords

Irrigation scheduling; RZWQM2; RZ_IrrSch; Soil water content; SWFAC; Water stress

Indexed keywords

AGRICULTURE; AMINO ACIDS; CROPS; DIGITAL STORAGE; GRAIN (AGRICULTURAL PRODUCT); IRRIGATION; MOISTURE; MOISTURE CONTROL; NITROGEN FIXATION; PLANTS (BOTANY); SCHEDULING; SOIL MOISTURE; SOILS; WATER CONTENT; WATER QUALITY; WATER SUPPLY;

IRRIGATION SCHEDULING; RZWQM2; RZ_IRRSCH; SOIL WATER CONTENT; SWFAC; WATER STRESS;

SPRINKLER SYSTEMS (IRRIGATION);

CLIMATE CONDITIONS; CROP YIELD; FARMING SYSTEM; FIELD CAPACITY; IRRIGATION SYSTEM; MAIZE; SEMIARID REGION; SOFTWARE; SOIL MOISTURE; SOIL SURFACE; SOIL WATER; SOYBEAN; WATER CONTENT; WATER STORAGE; WATER STRESS; WATER UPTAKE; WATER USE; WATER USE EFFICIENCY;

COLORADO; GREELEY; MISSISSIPPI; UNITED STATES;

GLYCINE MAX; ZEA MAYS;

EID: 85032827269     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2017.10.023     Document Type: Article

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