INFLUENCE OF CONTAINER VOLUME AND IRRIGATION SYSTEM ON PHOTOSYNTHESIS, WATER PRODUCTIVITY AND GROWTH OF POTTED EUPHORBIA × LOMI

2017 ◽  
Vol 16 (3) ◽  
pp. 163-171 ◽  
Author(s):  
Giancarl Fascella ◽  
Youssef Rouphael
Keyword(s):  
Irrigation System ◽  
Water Productivity

Soil Moisture based Automatic Irrigation System to Improve Water Productivity

2020 ◽  
Vol 7 (04) ◽  
Author(s):  
PRADEEP H K ◽  
JASMA BALASANGAMESHWARA ◽  
K RAJAN ◽  
PRABHUDEV JAGADEESH
Keyword(s):  
Soil Moisture ◽  
Soil Moisture Content ◽  
Irrigation System ◽  
Water Productivity ◽  
Vital Role ◽  
Agricultural Water Management ◽  
Water Management System ◽  
Proposed Model ◽  
Crop Growth Stage ◽  
Experimental Findings

Irrigation automation plays a vital role in agricultural water management system. An efficient automatic irrigation system is crucial to improve crop water productivity. Soil moisture based irrigation is an economical and efficient approach for automation of irrigation system. An experiment was conducted for irrigation automation based on the soil moisture content and crop growth stage. The experimental findings exhibited that, automatic irrigation system based on the proposed model triggers the water supply accurately based on the real-time soil moisture values.

scholarly journals Economic and Financial Assessment of Solar-Powered Irrigation

2020 ◽  
Vol 12 (4) ◽  
pp. 185
Author(s):  
Lana Mousa Abu-Nowar
Keyword(s):  
Solar Energy ◽  
Life Cycle Cost ◽  
Net Present Value ◽  
Function Analysis ◽  
Irrigation System ◽  
Water Productivity ◽  
Cost Ratio ◽  
Financial Indicators ◽  
Labor Costs ◽  
Solar Powered

This paper aimed at assessing the economic and financial viability of solar-powered irrigation of tomato crop in Jordan Valley. Data were collected from 16 tomato farms that use solar-powered irrigation system. Another 16 farms with diesel-powered irrigation system was investigated for comparative reasons. Descriptive statistics, Cost Function Analysis (CFA), Life-cycle Cost Analysis (LCCA), Water Productivity (WP) and the financial indicators of Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period (PP) and Benefit to Cost Ratio (B/C) were the main economic and financial analytical tools used in this study. The results of the study revealed that costs of inputs, labor costs and equipment and maintenance costs have had a lower adverse impact on the total revenues level when using solar-powered irrigation system. The results also indicated the preference of the investigated financial indicators (NPV, IRR, PP and B/C ratio) when solar-powered irrigation is used compared to diesel-powered irrigation. The results also revealed a lower cost of life of the farm under the use of solar-powered irrigation. The governmental policies and programs should be directed toward the concepts of renewable energy in general and solar energy uses in agriculture in particular. Special agricultural extension plans in training and capacity building of farmers and extension workers on the use of solar energy in irrigation of agricultural crops should be developed. Cooperation in the fields of solar energy between the Ministry of Agriculture and related parties such as the Royal Scientific Society and the Ministry of Energy should be initiated to conduct specialized researches in the fields of solar energy use in agriculture.

scholarly journals Performance of processing tomatoes under different supply levels of crop evapotranspiration

2018 ◽  
Vol 36 (3) ◽  
pp. 299-305
Author(s):  
Cícero J Silva ◽  
Nadson C Pontes ◽  
Adelmo Golynski ◽  
Marcos B Braga ◽  
Alice M Quezado-Duval ◽  
...  
Keyword(s):  
Irrigation System ◽  
Block Design ◽  
Water Productivity ◽  
Irrigation Management ◽  
Crop Evapotranspiration ◽  
Production Chain ◽  
Crop Cycle ◽  
Growing Conditions ◽  
Irrigation Levels

ABSTRACT Irrigation management is essential to promote appropriate plant growth and guarantee production and quality of the tomatoes for processing, increases the efficiency of nutrients use and contributes to ensure the sustainability of the production chain. This study was installed to evaluate productive performance of two processing tomato hybrids submitted to five water depths under drip irrigation system. Five levels of crop evapotranspiration (ETc) replacement (60%, 100%, 140%, 180% and 220%) and two tomato hybrids (BRS Sena and H 9992) were tested. The experimental design was a 5×2 factorial arranged in randomized complete block design with four replications. During the crop cycle, hybrids BRS Sena and H 9992 needed 692.20 and 418.43 mm of water, yielding 80 and 44.06 t ha-1, respectively. For both hybrids, the higher water productivity was observed when lower levels of irrigation were applied. Higher productivities and pulp yields of ‘BRS Sena’ and ‘H 9992’ were noticed when replacing 150-166% and 99-101% ETc, respectively. We observed that improving the performance of processing hybrid tomatoes is possible by adjusting irrigation levels for each hybrid according to growing conditions.

Evaluation of Drip Irrigation System for Water Productivity and Yield of Rice

2018 ◽  
Vol 110 (6) ◽  
pp. 2378-2389 ◽  
Author(s):  
Theivasigamani Parthasarathi ◽  
Koothan Vanitha ◽  
Sendass Mohandass ◽  
Eli Vered
Keyword(s):  
Drip Irrigation ◽  
Irrigation System ◽  
Water Productivity ◽  
Drip Irrigation System

scholarly journals Evaluating Irrigation Performance and Water Productivity Using EEFlux ET and NDVI

2021 ◽  
Vol 13 (14) ◽  
pp. 7967
Author(s):  
Usha Poudel ◽  
Haroon Stephen ◽  
Sajjad Ahmad
Keyword(s):  
Water Management ◽  
Sugar Beet ◽  
Crop Yield ◽  
Water Conservation ◽  
Irrigation System ◽  
Water Productivity ◽  
Google Earth ◽  
Geographical Information ◽  
Irrigation Performance ◽  
Crop Water

Southern California’s Imperial Valley (IV) faces serious water management concerns due to its semi-arid environment, water-intensive crops and limited water supply. Accurate and reliable irrigation system performance and water productivity information is required in order to assess and improve the current water management strategies. This study evaluates the spatially distributed irrigation equity, adequacy and crop water productivity (CWP) for two water-intensive crops, alfalfa and sugar beet, using remotely sensed data and a geographical information system for the 2018/2019 crop growing season. The actual crop evapotranspiration (ETa) was mapped in Google Earth Engine Evapotranspiration Flux, using the linear interpolation method in R version 4.0.2. The approx() function in the base R was used to produce daily ETa maps, and then totaled to compute the ETa for the whole season. The equity and adequacy were determined according to the ETa’s coefficient of variation (CV) and relative evapotranspiration (RET), respectively. The crop classification was performed using a machine learning approach (a random forest algorithm). The CWP was computed as a ratio of the crop yield to the crop water use, employing yield disaggregation to map the crop yield, using county-level production statistics data and normalized difference vegetation index (NDVI) images. The relative errors (RE) of the ETa compared to the reported literature values were 7–27% for alfalfa and 0–3% for sugar beet. The average ETa variation was low; however, the spatial variation within the fields showed that 35% had a variability greater than 10%. The RET was high, indicating adequate irrigation; 31.5% of the alfalfa and 12% of the sugar beet fields clustered in the Valley’s central corner were consuming more water than their potential visibly. The CWP showed wide variation, with CVs of 32.92% for alfalfa and 25.4% for sugar beet, signifying a substantial scope for CWP enhancement. The correlation between the CWP, ETa and yield showed that reducing the ETa to approximately 1500 mm for alfalfa and 1200 mm for sugar beet would help boost the CWP without decreasing the yield, which is nearly equivalent to 44.52M cu. m (36,000 acre-ft) of water. The study’s results could help water managers to identify poorly performing fields where water conservation and management could be focused.

Effect of available solar irradiance on vertical farming in semi-open urban places

2020 ◽  
Vol 10 (2) ◽  
pp. 717-726
Author(s):  
M. Moniruzzaman ◽  
K. K. Saha ◽  
M. M. Rahman ◽  
M. M. H. Oliver
Keyword(s):  
Drip Irrigation ◽  
Solar Irradiance ◽  
Sandy Loam ◽  
Irrigation System ◽  
Water Productivity ◽  
Field Capacity ◽  
Direct Sunlight ◽  
Lighting Conditions ◽  
Vertical Farming ◽  
Long Run

Building a vertical farm in unused residential and commercial spaces is a challenge. It is particularly hard to decide upon a space where varying degrees of lighting conditions may prevail at different times of a day. This experiment was focused on how innovative micro-irrigation technology could be coupled with vertical farms. In this regard, three storied racks were designed to accommodate multiple one-feet-square tubs large enough to hold five Indian spinach (BARI Puishak- 2) plants at a time. Sandy loam soil was used for farming along with recommended doses of fertilizers. Different lighting conditions (2- 145 W/m2 average solar irradiance) were employed on the fifth floor of an urban building. Drip emitters were coupled in the system for irrigation. The management allowed deficit was kept to a maximum of 50% of the readily available moisture below the field capacity. The results suggested that drip irrigation systems provide higher water productivity (up to 31.82 kg/m3) compared to the in-field conditions when BARI Puishak-2 is grown in vertical farming. Water productivity of spinach was improved by optimized set-up of a drip irrigation system. The study also concluded that vertical farming is only suitable for indoor places where plenty of direct sunlight or diffused sunlight (not below 70 W/m2) is available. The economic analysis suggests that vertical farms under direct sunlight can be made profitable (BCR>1) in the long run.

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