scholarly journals Estimation of crop coefficient for Marigold (Tagetes erecta (L.)) under drip irrigated greenhouse

2020 ◽  
Vol 12 (2) ◽  
pp. 128-132
Author(s):  
E. Sujitha ◽  
K. Shanmugasundaram ◽  
G. Thiyagarajan
Keyword(s):  
Growth Stage ◽  
Crop Coefficient ◽  
Irrigation Scheduling ◽  
Cultivated Plants ◽  
Tagetes Erecta ◽  
Growth Stages ◽  
Crop Water ◽  
Large Area ◽  
Pan Coefficient ◽  
Tagetes Erecta L

Crop water consumption (ETc) varies from region to region depending on crop type, growth stages, soil, and climate conditions. In order to obtain full yield and avoid unnecessary water usage, the water demand of the cultivated plants should be accurately calculated, and irrigation water should be applied in accordance with plant needs. In this, the study was carried out in field No.C3 of Central farm at Agricultural Engineering College and Research Institute, Kumulur, Trichy district to determine the growth stage-specific crop coefficient (Kc) and pan coefficient (Kp) for the greenhouse grown marigold (Tagetes erecta (L.). Since, a large area was occupied by a ClassA pan, the reduced-size evaporative pans (20 and 60 cm compared with Class A pan) was used and pan coefficient was determined as 0.93 and 0.96 respectively. A pan coefficient (Kp) was used to convert pan evaporation (Epan) to grass reference evapotranspiration (ETo). Based on the tensiometer readings, the depleted moisture content was taken to reckon the crop coefficient for different growth stage. The results revealed that crop coefficient (Kc) for marigold was observed as 0.37 during the initial stage (Kcin), 0.8 during mid-stage (Kcmid) and 0.47 (Kcfin) during the final stage. These results would be helpful for crop water requirement and irrigation scheduling for similar condition.

scholarly journals TIME SERIES ANALYSIS OF REMOTE SENSING OBSERVATIONS FOR CITRUS CROP GROWTH STAGE AND EVAPOTRANSPIRATION ESTIMATION

2016 ◽  
Vol XLI-B8 ◽  
pp. 1037-1042 ◽  
Author(s):  
S. A. Sawant ◽  
M. Chakraborty ◽  
S. Suradhaniwar ◽  
J. Adinarayana ◽  
S. S. Durbha
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Growth Stage ◽  
Crop Growth ◽  
Water Requirement ◽  
Growth Stages ◽  
Crop Water ◽  
Horticultural Crops ◽  
Crop Growth Stages ◽  
Crop Growth Stage

Satellite based earth observation (EO) platforms have proved capability to spatio-temporally monitor changes on the earth's surface. Long term satellite missions have provided huge repository of optical remote sensing datasets, and United States Geological Survey (USGS) Landsat program is one of the oldest sources of optical EO datasets. This historical and near real time EO archive is a rich source of information to understand the seasonal changes in the horticultural crops. Citrus (Mandarin / Nagpur Orange) is one of the major horticultural crops cultivated in central India. Erratic behaviour of rainfall and dependency on groundwater for irrigation has wide impact on the citrus crop yield. Also, wide variations are reported in temperature and relative humidity causing early fruit onset and increase in crop water requirement. Therefore, there is need to study the crop growth stages and crop evapotranspiration at spatio-temporal scale for managing the scarce resources. In this study, an attempt has been made to understand the citrus crop growth stages using Normalized Difference Time Series (NDVI) time series data obtained from Landsat archives (<a href="http://earthexplorer.usgs.gov/"target="_blank">http://earthexplorer.usgs.gov/</a>). Total 388 Landsat 4, 5, 7 and 8 scenes (from year 1990 to Aug. 2015) for Worldwide Reference System (WRS) 2, path 145 and row 45 were selected to understand seasonal variations in citrus crop growth. Considering Landsat 30 meter spatial resolution to obtain homogeneous pixels with crop cover orchards larger than 2 hectare area was selected. To consider change in wavelength bandwidth (radiometric resolution) with Landsat sensors (i.e. 4, 5, 7 and 8) NDVI has been selected to obtain continuous sensor independent time series. The obtained crop growth stage information has been used to estimate citrus basal crop coefficient information (Kcb). Satellite based Kcb estimates were used with proximal agrometeorological sensing system observed relevant weather parameters for crop ET estimation. The results show that time series EO based crop growth stage estimates provide better information about geographically separated citrus orchards. Attempts are being made to estimate regional variations in citrus crop water requirement for effective irrigation planning. In future high resolution Sentinel 2 observations from European Space Agency (ESA) will be used to fill the time gaps and to get better understanding about citrus crop canopy parameters.

scholarly journals Performance Evaluation of Sesame under Regulated Deficit Irrigation Application in the Low Land of Western Gondar, Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Sisay Ambachew Mekonnen ◽  
Assefa Sintayehu
Keyword(s):  
Deficit Irrigation ◽  
Crop Production ◽  
Water Productivity ◽  
Irrigation Scheduling ◽  
Growth Stages ◽  
Crop Water ◽  
Crop Water Productivity ◽  
Moisture Deficit ◽  
North Western ◽  
Western Ethiopia

Sesame (Sesamum indicum L.) is the leading oil seed crop produced in Ethiopia. It is the second most important agricultural commodity for export market in the country. It is well suited as an alternative crop production system, and it has low crop water requirement with moderate resistance to soil moisture deficit. The low land of North Western Ethiopia is the major sesame producer in the country, and the entire production is from rainfed. The rainfall distribution in North Western Ethiopia is significantly varied. This significant rainfall variability hampers the productivity of sesame. Irrigation agriculture has the potential to stabilize crop production and mitigate the negative impacts of variable rainfall. This study was proposed to identify critical growth stages during which sesame is most vulnerable to soil moisture deficit and to evaluate the crop water productivity of sesame under deficit irrigation. The performance of sesame to stage-wise and uniform deficit irrigation scheduling technique was tested at Gondar Agricultural Research Center (Metema Station), Northern Western Ethiopia. Eight treatments, four stage-wise deficit, two uniform deficit, one above optimal, and one optimal irrigation applications, were evaluated during the 2017 irrigation season. The experiment was designed as a randomized complete block design with three replications. Plant phenological variables, grain yield and crop water productivity, were used for performance evaluation. The result showed that deficit irrigation can be applied both throughout and at selected growth stages except the midseason stage. Imposing deficit during the midseason gave the lowest yield indicating the severe effect of water deficit during flowering and capsule initiation stages. When deficit irrigation is induced throughout, a 25% uniform deficit irrigation can give the highest crop water productivity with no or little yield reduction as compared with optimal irrigation. Implementing deficit irrigation scheduling technique will be beneficial for sesame production. Imposing 75% deficit at the initial, development, late season growth stages or 25% deficit irrigation throughout whole seasons will improve sesame crop water productivity.

scholarly journals TIME SERIES ANALYSIS OF REMOTE SENSING OBSERVATIONS FOR CITRUS CROP GROWTH STAGE AND EVAPOTRANSPIRATION ESTIMATION

2016 ◽  
Vol XLI-B8 ◽  
pp. 1037-1042 ◽  
Author(s):  
S. A. Sawant ◽  
M. Chakraborty ◽  
S. Suradhaniwar ◽  
J. Adinarayana ◽  
S. S. Durbha
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Growth Stage ◽  
Crop Growth ◽  
Water Requirement ◽  
Growth Stages ◽  
Crop Water ◽  
Horticultural Crops ◽  
Crop Growth Stages ◽  
Crop Growth Stage

Satellite based earth observation (EO) platforms have proved capability to spatio-temporally monitor changes on the earth's surface. Long term satellite missions have provided huge repository of optical remote sensing datasets, and United States Geological Survey (USGS) Landsat program is one of the oldest sources of optical EO datasets. This historical and near real time EO archive is a rich source of information to understand the seasonal changes in the horticultural crops. Citrus (Mandarin / Nagpur Orange) is one of the major horticultural crops cultivated in central India. Erratic behaviour of rainfall and dependency on groundwater for irrigation has wide impact on the citrus crop yield. Also, wide variations are reported in temperature and relative humidity causing early fruit onset and increase in crop water requirement. Therefore, there is need to study the crop growth stages and crop evapotranspiration at spatio-temporal scale for managing the scarce resources. In this study, an attempt has been made to understand the citrus crop growth stages using Normalized Difference Time Series (NDVI) time series data obtained from Landsat archives (<a href="http://earthexplorer.usgs.gov/"target="_blank">http://earthexplorer.usgs.gov/</a>). Total 388 Landsat 4, 5, 7 and 8 scenes (from year 1990 to Aug. 2015) for Worldwide Reference System (WRS) 2, path 145 and row 45 were selected to understand seasonal variations in citrus crop growth. Considering Landsat 30 meter spatial resolution to obtain homogeneous pixels with crop cover orchards larger than 2 hectare area was selected. To consider change in wavelength bandwidth (radiometric resolution) with Landsat sensors (i.e. 4, 5, 7 and 8) NDVI has been selected to obtain continuous sensor independent time series. The obtained crop growth stage information has been used to estimate citrus basal crop coefficient information (Kcb). Satellite based Kcb estimates were used with proximal agrometeorological sensing system observed relevant weather parameters for crop ET estimation. The results show that time series EO based crop growth stage estimates provide better information about geographically separated citrus orchards. Attempts are being made to estimate regional variations in citrus crop water requirement for effective irrigation planning. In future high resolution Sentinel 2 observations from European Space Agency (ESA) will be used to fill the time gaps and to get better understanding about citrus crop canopy parameters.

scholarly journals A Novel ArcGIS Toolbox for Estimating Crop Water Demands by Integrating the Dual Crop Coefficient Approach with Multi-Satellite Imagery

Water ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 38 ◽  
Author(s):  
Juan Ramírez-Cuesta ◽  
José Mirás-Avalos ◽  
José Rubio-Asensio ◽  
Diego Intrigliolo
Keyword(s):  
Information And Communication Technologies ◽  
Mean Squared Error ◽  
Irrigation System ◽  
Crop Coefficient ◽  
Irrigation Scheduling ◽  
Irrigation Season ◽  
Agricultural Field ◽  
Crop Water ◽  
Water Demands ◽  
Crop Coefficients

Advances in information and communication technologies facilitate the application of complex models for optimizing agricultural water management. This paper presents an easy-to-use tool for determining crop water demands using the dual crop coefficient approach and remote sensing imagery. The model was developed using Python as a programming language and integrated into an ArcGIS (geographic information system) toolbox. Inputs consist of images from satellites Landsat 7 and 8, and Sentinel 2A, along with data for defining crop, weather, soil type, and irrigation system. The tool produces a spatial distribution map of the crop evapotranspiration estimates, assuming no water stress, which allows quantifying the water demand and its variability within an agricultural field with a spatial resolution of either 10 m (for Sentinel) or 30 m (for Landsat). The model was validated by comparing the estimated basal crop coefficients (Kcb) of lettuce and peach during an irrigation season with those tabulated as a reference for these crops. Good agreements between Kcb derived from both methods were obtained with a root mean squared error ranging from 0.01 to 0.02 for both crops, although certain underestimations were observed resulting from the uneven crop development in the field (percent bias of −4.74% and −1.80% for lettuce and peach, respectively). The developed tool can be incorporated into commercial decision support systems for irrigation scheduling and other applications that account for the water balance in agro-ecosystems. This tool is freely available upon request to the corresponding author.

scholarly journals Crop Water Use and Irrigation Scheduling Guide for North Florida

EDIS ◽  
2020 ◽  
Vol 2020 (6) ◽  
Author(s):  
Vivek Sharma ◽  
Charles Barrett ◽  
De Broughton ◽  
Thomas Obreza
Keyword(s):  
Water Use ◽  
Irrigation Schedule ◽  
Irrigation Scheduling ◽  
Growth Stages ◽  
Crop Water ◽  
Leaching Potential ◽  
Crop Water Use ◽  
Crop Water Demand ◽  
Crop Growth Stages ◽  
The Right

Effective irrigation scheduling enables the irrigator to apply the right amount of water at the right time to meet the crop water demand. This 19-page guide presents information on average daily and weekly crop water use and crop growth stages for twelve north Florida crops that can be used to help schedule irrigation. This will allow a grower to develop a realistic irrigation schedule that minimizes plant water stress, saves water, and reduces nutrient leaching potential. Written by Vivek Sharma, Charles Barrett, De Broughton, and Thomas Obreza, and published by the UF/IFAS Department of Soil and Water Sciences, revised December 2020.

scholarly journals A Practical Guide for Peach Irrigation Scheduling in Florida

EDIS ◽  
2021 ◽  
Vol 2021 (3) ◽  
Author(s):  
Lincoln Zotarelli ◽  
Carlos Zambrano-Vaca ◽  
Charles E. Barrett ◽  
Vivek Sharma ◽  
Juanita Popenoe ◽  
...  
Keyword(s):  
Water Demand ◽  
Field Research ◽  
Irrigation Scheduling ◽  
Growth Stages ◽  
Peach Tree ◽  
Crop Water ◽  
Central Florida ◽  
Crop Water Demand ◽  
Practical Information ◽  
Peach Trees

The goal of this publication is to provide a practical guideline for irrigation of young (1–3 years old) and adult (>3 years old) peach trees cultivated in Florida. This document is based on field research of peach water uptake conducted by UF/IFAS. The first section describes peach tree growth stages and their respective crop water demand in central Florida. The second and third sections present practical information on preparing year-round irrigation scheduling for young and adult peach trees, respectively. More information about irrigation practices for peaches is provided in EDIS publication HS1316 (https://edis.ifas.ufl.edu/hs1316).

scholarly journals Estimation of crop water requirement for rice- wheat and rice- maize cropping system using CROPWAT model for Pusa, Samastipur district, Bihar

2021 ◽  
Vol 8 (2) ◽  
pp. 143-148
Author(s):  
RAVISH CHANDRA ◽  
SHABANAM KUMARI
Keyword(s):  
Meteorological Data ◽  
Cropping System ◽  
Crop Coefficient ◽  
Water Requirement ◽  
Crop Water Requirement ◽  
Growth Stages ◽  
Effective Rainfall ◽  
Crop Water ◽  
Crop Growth Stages ◽  
Reference Crop

This study is about estimation of crop water requirement for rice-wheat and rice-rabi maize cropping system for Pusa Region of Samastipur district of Bihar using CROPWAT model for year 2017-18.The effective rainfall was calculated using USDA S.C. Method. Reference crop evaporation was calculated using meteorological data viz temperature, relative humidity, wind speed and Sunshine using Penman Monteith equation. The meteorological data were collected from university observatory of R.P.C.A.U Pusa. Crop coefficient (Kc) value was taken according to crop growth stages. Effective rainfall and crop water requirement was used for determining net irrigation requirement. The annual crop water requirement of Rice- Wheat cropping system was found to be 904.1 mm whereas the crop-water requirement of Rice- Rabi Maize cropping system was 991.7 mm.

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