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1. Semi-supervised machine learning analysis of crop color for autonomous irrigation

Author:
Arya Tschand
Source:
Smart agricultural technology 2023 v.3 pp. 100116
ISSN:
2772-3755
Subject:
irrigation rates,   etc   ; color; computer vision; data collection; electronic circuits; infrastructure; irrigated farming; irrigation systems; memory; people; raspberries; satellites; water flow; water shortages;     Show all 14 Subjects
Abstract:
... Agricultural irrigation wastage, especially from inefficient infrastructure in developing nations, is among the leading causes of the global water shortage epidemic, which affects an estimated 2.8 billion people worldwide. In this project, a three-component cloudless internet-of-things (IoT)-based irrigation network is designed and constructed to affordably integrate into existing irrigation infra ...
DOI:
10.1016/j.atech.2022.100116

2. Sustainable water and nitrogen optimization to adapt to different temperature variations and rainfall patterns for a trade-off between winter wheat yield and N2O emissions

Author:
Chong Wang; Zhiming Qi; Jiongchao Zhao; Zhenzhen Gao; Jie Zhao; Fu Chen; Qingquan Chu
Source:
Science of the total environment 2023 v.854 pp. 158822
ISSN:
0048-9697
Subject:
irrigation rates,   etc   ; climate change; environment; fertilizer rates; field experimentation; models; nitrogen; nitrogen fertilizers; nitrous oxide; pollution; rain; soil temperature; soil water; wet season; winter wheat; China;     Show all 16 Subjects
Abstract:
... Optimizing irrigation and nitrogen (N) fertilizer applications is essential to ensure crop yields and lower environmental risks under climate change. The DeNitrification-DeComposition (DNDC) model was employed to investigate the impacts of irrigation regime (RF, rainfed; MI, minimum irrigation; CI, critical irrigation; FI, full irrigation) and N fertilizer rate (N60, N90, N120, N150, N180, N210, N ...
DOI:
10.1016/j.scitotenv.2022.158822

3. Evaluating drought stress tolerance in different Camellia sinensis L. cultivars and effect of melatonin on strengthening antioxidant system

Author:
Iman Khesali Langaroudi; Saeed Piri; Sanam Safaei Chaeikar; Behrooz Salehi
Source:
Scientia horticulturae 2023 v.307 pp. 111517
ISSN:
0304-4238
Subject:
irrigation rates,   etc   ; Camellia sinensis; antioxidants; carotenoids; catalase; chlorophyll; cultivars; drought tolerance; foliar application; growth and development; malondialdehyde; melatonin; peroxidase; polyphenols; proline; protein content; sugars; tea; water stress; Iran;     Show all 20 Subjects
Abstract:
... Drought stress really restring the growth and development of tea plant and affecting quality and yield. In tea growing areas of Iran, drought stress is a serious problem that affects the yield and quality of green leaves, therefore introducing cultivars that tolerate drought stress is one of the breeding purpose. To distinguish the variations in four tea cultivars response to drought stress and th ...
DOI:
10.1016/j.scienta.2022.111517

4. Coupling of regulated deficit irrigation at maturity stage and moderate fertilization to improve soil quality, mango yield and water-fertilizer use efficiency

Author:
Youliang Peng; Liangjun Fei; Xiaogang Liu; Guangzhao Sun; Kun Hao; Ningbo Cui; Lu Zhao; Lihua Liu; Feilong Jie
Source:
Scientia horticulturae 2023 v.307 pp. 111492
ISSN:
0304-4238
Subject:
irrigation rates,   etc   ; catalase; compound fertilizers; crop yield; deficit irrigation; enzyme activity; fertilizer rates; fruit weight; fruits; mangoes; maturity stage; microirrigation; nitrate nitrogen; nutrient content; phosphorus; potassium; soil; soil enzymes; soil nutrients; soil quality; urease; water conservation; water solubility; water use efficiency; China;     Show all 25 Subjects
Abstract:
... Reasonable irrigation and fertilization practices can not only improve soil quality, but also increase crop yield, and water-fertilizer use efficiency. However, it is still unclear that the micro-irrigation and fertilization mode is conducive to improving the soil comprehensive environment, the mango yield and water-fertilizer use efficiency in the dry-hot region. The effects of regulated deficit ...
DOI:
10.1016/j.scienta.2022.111492

5. Intuitionistic fuzzy approach in multi-objective optimization for KRBMC irrigation system, India

Author:
S. V. Pawar; P. L. Patel; A. B. Mirajkar
Source:
ISH journal of hydraulic engineering 2022 v.28 no.S1 pp. 463-470
ISSN:
2164-3040
Subject:
irrigation rates,   etc   ; employment; irrigation systems; models; India;     Show all 5 Subjects
Abstract:
... In the present study, a new optimization approach, intuitionistic fuzzy optimization (IFO), has been proposed for optimal cropping pattern in the Kakrapar Right Bank Main Canal command area of Ukai Kakrapar Water Resources Project in India. The IFO is an extension of the fuzzy optimization technique which considers, apart from the degree of acceptance, the degree of rejection and hesitation index ...
DOI:
10.1080/09715010.2020.1781700

6. Assessment of the regional agricultural water-land Nexus in China: A green-blue water perspective

Author:
Xuan Huang; Huan Fang; Mengyang Wu; Xinchun Cao
Source:
Science of the total environment 2022 v.804 pp. 150192
ISSN:
0048-9697
Subject:
irrigation rates,   etc   ; arable soils; environment; food security; irrigation water; China;     Show all 6 Subjects
Abstract:
... An appropriate agricultural water-land nexus can help to effectively take advantage of limited water and land resources, which is of great significance for guaranteeing food security. An R index was proposed to evaluate the regional agricultural water-land nexus from a green-blue water perspective in the current paper. The effects of irrigation on the agricultural water-land nexus were revealed fo ...
DOI:
10.1016/j.scitotenv.2021.150192

7. Interactive effects of level of nitrogen and irrigation application on maize yield

Author:
Thomas R. Sinclair; Nahid Jafarikouhini
Source:
Journal of plant nutrition 2022 v.45 no.9 pp. 1305-1311
ISSN:
1532-4087
Subject:
irrigation rates,   etc   ; Zea mays; corn; equations; nitrogen; plant nutrition; regression analysis;     Show all 7 Subjects
Abstract:
... Maize (Zea mays L.) yields are recognized to be sensitive to both the level of nitrogen fertilization and irrigation that is applied to the crop. However, there are virtually no studies where experimental results are analyzed to quantitatively explore directly the interactive influence of these two resources on yield. As a consequence, it is difficult to sort out the optimum management regime for ...
DOI:
10.1080/01904167.2021.2020835

8. Quantifying source-sink relationships of drip-fertigated potato under various water and potassium supplies

Author:
Shaohui Zhang; Haidong Wang; Junliang Fan; Fucang Zhang; Minghui Cheng; Ling Yang; Qingyuan Ji; Zhijun Li
Source:
Field crops research 2022 v.285 pp. 108604
ISSN:
0378-4290
Subject:
irrigation rates,   etc   ; fertilizers; field experimentation; potassium; potatoes; quantitative analysis; research; vegetative growth;     Show all 8 Subjects
Abstract:
... Water and fertilizer supply can affect the processes of assimilate production (source) and assimilate accumulation (sink), thereby causing differences in potato yield. However, little is known about the coupling effects of irrigation amount and potassium rate on potato tuber yield and its potential source-sink relationships. The objective of this study was to quantify how water and potassium suppl ...
DOI:
10.1016/j.fcr.2022.108604

9. Analysis of climate change impact on resource intensity and carbon emissions in protected farming systems using Water-Energy-Food-Carbon Nexus

Author:
Pu Reun Yoon; Sang-Hyun Lee; Jin-Yong Choi; Seung-Hwan Yoo; Seung-Oh Hur
Source:
Resources, conservation, and recycling 2022 v.184 pp. 106394
ISSN:
0921-3449
Subject:
irrigation rates,   etc   ; carbon; climate change; crop yield; energy; models; resource management; temperature; uncertainty;     Show all 9 Subjects
Abstract:
... As the uncertainty and importance of securing resources increase, the nexus concept is used for integrated sustainable use management planning. In particular, because protected farms are most affected by temperature change, the connection between the heating temperature variable and resources must be analyzed. In this study, a water-energy-food-carbon nexus model that reflected the agricultural ch ...
DOI:
10.1016/j.resconrec.2022.106394

10. Comparing Smart Irrigation Controllers for Turfgrass Landscapes

Author:
Shane R. Evans; Kelly Kopp; Paul G. Johnson; Bryan G. Hopkins; Xin Dai; Candace Schaible
Source:
HortTechnology 2022 v.32 no.5 pp. 415-424
ISSN:
1943-7714
Subject:
irrigation rates,   etc   ; Poa pratensis; environmental protection; evapotranspiration; extension education; turf grasses; vegetation; Utah;     Show all 8 Subjects
Abstract:
... Recent advances in irrigation technologies have led many states to incentivize homeowners to purchase United States Environmental Protection Agency WaterSense-labeled, smart irrigation controllers. However, previous research of smart controllers has shown that their use may still result in excess water application when compared with controllers manually programmed to replace actual water loss. Thi ...
DOI:
10.21273/HORTTECH04985-21

11. Concurrent data assimilation and model-based optimization of irrigation scheduling

Author:
Raphael Linker; Isaya Kisekka
Source:
Agricultural water management 2022 v.274 pp. 107924
ISSN:
0378-3774
Subject:
irrigation rates,   etc   ; biomass; irrigation scheduling; leaf area index; models; soil water content; tomatoes;     Show all 7 Subjects
Abstract:
... Crop models can be combined with optimization algorithms in order to develop management tools. However, such model-based tools are inherently affected by the imperfectness of the model on which they are based. In this paper we describe a procedure in which data assimilation and partial re-parametrization of the model embedded in the optimization procedure used to determine irrigation scheduling ar ...
DOI:
10.1016/j.agwat.2022.107924

12. Irrigation Increases Crop Species Diversity in Low-Diversity Farm Regions of Mexico

Author:
Matthew C. LaFevor; Aoife K. Pitts
Source:
Agriculture (Basel) 2022 v.12 no.7 pp. -
ISSN:
2077-0472
Subject:
irrigation rates,   etc   ; agriculture; cropland; crops; farms; regression analysis; species richness; water policy; Mexico;     Show all 9 Subjects
Abstract:
... Although agricultural intensification generally has homogenizing effects on landscapes that reduce crop diversity, the specific effects of different input strategies on crop diversity are unclear. This study examines the effects of irrigation inputs on crop species diversity in Mexico. We assess the richness and evenness diversity of 297 crop species across 2455 municipalities while controlling fo ...
DOI:
10.3390/agriculture12070911

13. Multi-scale ecological operation model of reservoir group coupled with ecological infiltration irrigation

Author:
Tao Bai; Dong Liu; Mingjiang Deng
Source:
Agricultural water management 2022 v.270 pp. 107723
ISSN:
0378-3774
Subject:
irrigation rates,   etc   ; animal husbandry; financial economics; forage yield; grasslands; income; models; river valleys;     Show all 8 Subjects
Abstract:
... Aiming at the extensive management problems in ecological operation and ecological irrigation, this paper proposed a novel ecological irrigation method—ecological infiltration irrigation (EII), and established a multi-scale ecological operation model of reservoir group coupled with EII for the irrigation and restoration of river valley grasslands. Firstly, the ecological available water supplies i ...
DOI:
10.1016/j.agwat.2022.107723

14. Non Linear Optimization Model for Water Allocation under Deficit Irrigation System

Author:
Sushmita M. Dadhich; N.K. Garg; R.K. Srivastava; Santosh Ojha
Source:
Journal of Community Mobilization and Sustainable Development 2022 v.17 no.2 pp. 457-465
ISSN:
2231-6736
Subject:
irrigation rates,   etc   ; basins; costs and returns; deficit irrigation; groundwater; models; sustainable development; water allocation;     Show all 8 Subjects
Abstract:
... A non linear optimization model is formulated in the present study to optimize the deficit levels for different crop growth stages to maximize the net economic return within the available resource constraints. The model determines decade (10 days) optimal withdrawals from canal and ground water, optimal area under different crops and optimal deficit levels for different crop growth stages. The mod ...

15. Effect of irrigation level and weed management practices on wheat growth, yield and economics

Author:
Ashok N. Chaudhary; Arvind M. Patel; Vinod B. Mor; Hira N. Chaudhary
Source:
Indian journal of weed science 2022 v.54 no.1 pp. 46-50
ISSN:
0974-8164
Subject:
irrigation rates,   etc   ; agricultural colleges; experimental design; grain yield; income; metsulfuron; straw; wheat; winter; India;     Show all 10 Subjects
Abstract:
... An experiment was conducted at Sardarkrushinagar Dantiwada Agricultural University (SDAU), Sardarkrushinagar, Gujarat during two consecutive winter (Rabi) seasons of the years 2014-15 and 2015-16. The experiment consisted of twenty-one treatments with three levels of irrigation (0.6, 0.8, 1.0 IW:CPE ratio) as main plot treatments and seven weed management practices as sub-plot treatments. A split- ...
DOI:
10.5958/0974-8164.2022.00008.9

16. Phytoextraction by Moso Bamboo under high level chromium stress in mediterranean conditions

Author:
Ezio Ranieri; Petros Gikas; Francesca Ranieri; Gianfranco D'Onghia; Ada Cristina Ranieri
Source:
Journal of environmental management 2022 v.317 pp. 115479
ISSN:
0301-4797
Subject:
irrigation rates,   etc   ; Phyllostachys edulis; bamboos; bioaccumulation factor; biomass; chromium; heavy metals; irrigation water; phytoaccumulation; rhizomes;     Show all 10 Subjects
Abstract:
... In this study a bamboo species, Moso Bamboo (MB) – Phyllostachys pubescens – has been selected for its heavy metal accumulation capacity and translocation potential to restore Cr-contaminated soil. Experiments have been conducted so to evaluate the capability of MB to remove Cr from soil, growing under Mediterranean conditions, irrigated with water containing 180 mgCr/L, at flow rate of 600 mm/yea ...
DOI:
10.1016/j.jenvman.2022.115479

17. Deficit irrigation impacts on greenhouse gas emissions under drip-fertigated maize in the Great Plains of Colorado

Author:
Flynn Nora E.; Stewart Catherine E.; Comas Louise H.; Grosso Stephen J.; Schnarr Cassandra; Schipanski Meagan; von Fischer Joseph C.; Stuchiner Emily R.; Fonte Steven J.
Source:
Journal of environmental quality 2022 v. no. pp. -
ISSN:
0047-2425
Subject:
irrigation rates,   etc   ; corn; deficit irrigation; developmental stages; environmental quality; evapotranspiration; fertigation; greenhouse gases; nitrogen fertilizers; Colorado;     Show all 10 Subjects
Abstract:
... Precise application of water and nitrogen fertilizer can increase crop water productivity and reduce agricultural contributions to greenhouse gas (GHG) emissions. Regulated deficit irrigation (DI) and drip fertigation are efficient practices that control the amount, location, and timing of water and nutrient application, yet few studies have measured GHG emissions under these practices, especially ...
Handle:
10113/7800844
DOI:
10.1002/jeq2.20353

18. Maximizing Economic Water Productivity Index in Agriculture in Different Levels of Irrigation

Author:
A. Mehrabi; M. Heidar pour; H. R. Safavi
Source:
̒Ulūm-i āb va khāk 2022 v.25 no.4 pp. 113-130
ISSN:
2476-5554
Subject:
irrigation rates,   etc   ; alfalfa; algorithms; cropping systems; deficit irrigation; groundwater; models; rapeseed; sugar beet; water allocation; wheat;     Show all 11 Subjects
Abstract:
... Designing an optimal crop pattern and on-time water allocation of water resources along with deficit irrigation are among the optimal solutions to maximize the water economic efficiency index. In this paper, the simultaneous optimization of crop pattern and water allocation are discussed using the deficit irrigation method. The study area is located west of the Qazvin plain irrigation network. The ...

19. Ventilation and irrigation management strategy for tomato cultivated in greenhouses

Author:
Xuewen Gong; Xiaoming Li; Rangjian Qiu; Guokui Bo; Yinglu Ping; Qingsong Xin; Jiankun Ge
Source:
Agricultural water management 2022 v.273 pp. 107908
ISSN:
0378-3774
Subject:
irrigation rates,   etc   ; crop yield; early development; evaporation; evapotranspiration; greenhouses; irrigation water; temperature; tomatoes; water use efficiency;     Show all 10 Subjects
Abstract:
... Appropriate ventilation and water management strategy are beneficial to boost crop yield and quality in greenhouses, and their optimization is crucial for improving water use efficiency (WUE). Here, we set up three irrigation levels based on measurements of the cumulative pan evaporation (AEₚₐₙ) (i.e. 0.9 AEₚₐₙ, 0.7 AEₚₐₙ, and 0.5 AEₚₐₙ), and three ventilation modes through opening the greenhouse ...
DOI:
10.1016/j.agwat.2022.107908

20. Distributed ANN-bi level two-stage stochastic fuzzy possibilistic programming with Bayesian model for irrigation scheduling management

Author:
Youzhi Wang; Huijuan Yin; Xinwei Guo; Wenge Zhang; Qiangkun Li
Source:
Journal of hydrology 2022 v.606 pp. 127435
ISSN:
0022-1694
Subject:
irrigation rates,   etc   ; Bayesian theory; financial economics; neural networks; normal distribution; risk; runoff; simulation models; water allocation;     Show all 9 Subjects
Abstract:
... To optimize irrigation amount and date, and water allocation target across spatially distributed crops under uncertainties and risks, the framework of the distributed ANN-bi level two-stage stochastic fuzzy possibilistic programming with Bayesian (distributed ANN-BLTSFPPB) model was established by integrating bi-level programming, two stochastic programming (TSP), fuzzy possibilistic programming, ...
DOI:
10.1016/j.jhydrol.2022.127435