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Fruits and Vegetables Supply Chain Management (Case Study: Kerman Province)
, M.Sc. Thesis Sharif University of Technology ; Akbari Jokar, Mohammad Reza (Supervisor)
Abstract
One of the challenges of today's economy, is improving economic structures and reduce its dependence on oil revenues. Agricultural industry as an important part of the economy, is not dependent on oil revenues and improving its structure can have a significant impact on increasing revenues. Kerman province with a high proportion of horticultural products in the country, plays a significant role in Agricultural industry .However, the problem of water shortages in the country, highlighted the efficient use of water in economic purpose and crop-planning. By the problems with the current structure, lack of management of planting crops, lack of proper supply chain, redesign of agricultural supply...
Optimal Utilization of Natural Resources in Crop Planning (Case Study: Miandoab Plain)
, M.Sc. Thesis Sharif University of Technology ; Tajrishy, Masoud (Supervisor)
Abstract
Most of the surface and ground water resources are allocated to agriculture in Iran. Even though lots of water is used in this field, the level of crop production is not satisfactory due to mismanagement. Besides, environmental issues caused by surface and ground water overuse has brought the crucial situation into the governers’ attention. Over the past two decades, Lake Urmia water basin has encountered lots of environmental issues such as decrease in lake water surface. Any effort to improve water reources consumption can be very helpful to lake restoration process. Miandoab plain known as one of the main sub basins of Lake Urmia provides the lake with more than half of its surface water...
Optimal Design and Operation of Energy Supply Systems of Energy Efficient Greenhouses Based on Dual Stage Multi-objective Optimization
, Ph.D. Dissertation Sharif University of Technology ; Roshandel, Ramin (Supervisor) ; Hellweg, Stefanie (Co-Supervisor)
Abstract
The purpose of this research is developing an analytical and decision-making tool that examines the interactions between greenhouse energy demand and yield production. Greenhouseholders can use the analytical tool to design and operate existintg and newly built greenhouses in an optimal way. Becides, the decision making tool helps planners and policymakers to improve the performance of greenhouses and extend greenhouse cultivation with respect to their economic or environmental objectives.In order to develop this decision making tool, existing models for greenhouses have been investigated and various algorithms have been combined to develop an integrated energy demand-plant growth model. The...
Simulation of the Effect of Different Measures on the Amount of Water Entering the South of Lake Urmia Using the MIKE SHE Simulator Model
, M.Sc. Thesis Sharif University of Technology ; Tajrishy, Masoud (Supervisor)
Abstract
Sustainable management of water resources is an important issue today, because it can play a role in achieving environmental protection and economic prosperity. Lake Urmia is a remarkable ecological system, because it includes a unique habitat with native and migratory species, maintains the temperature balance of the region, prevents the formation of dust in the region and is one of the largest Tourism and recreational destinations and a source of income for many people in the Area. However, over the past two decades, the intensification of agricultural activities, the indiscriminate use of water, and climate fluctuations have put significant pressure on it and have led to a gradual...
Crop Classification using Sentinel-Image Timeseries and Deep Learning
, M.Sc. Thesis Sharif University of Technology ; Manzuri, Mohammad Taghi (Supervisor)
Abstract
Crop classification is one of the most important applications of remote sensing in agriculture. Knowing what crops are on the farm is invaluable both on a micro and macro scale. For example, this information can be used to design and imple- ment agricultural policies, product management and ensure food security. Also, this information can be used as a prerequisite for implementing other programs at the farm scale, such as monitoring and detecting anomalies during the crop growth cycle. Most of the studies in this field are focused on the optical data of the Sentinel-2 satel- lite, but the optical data are vulnerable to atmospheric conditions, and on the other hand, there is valuable...
Modification of Crop Pattern Considering Climate Change and Efficient Use of Water Resources
, M.Sc. Thesis Sharif University of Technology ; Moghim, Sanaz (Supervisor)
Abstract
In recent decades, the earth is affected by climate change and the seasons has been warmer than the last. Furthermore, the efficiency of agricultural irrigation is low, and it leads to surface water drought and decrease in groundwater level. The Middle East is known for its warm desert climate. Lack of water resources is considered the most limiting factor for sustainable agriculture and water management of irrigation is a crucial issue for agriculture in Middle East. So it’s necessary to devote the cropping pattern considering above changes. The FAO56 Penman-Monteith equation is the standardized ETo equation. A comparison was made between 8 selected methods and FAO56-PM. Thus the method...
Lifetable analysis of Spodoptera exigua Hübner on alternate hosts from cotton agroecosystem for estimating annual population build-up
, Article International Journal of Pest Management ; Volume 67, Issue 3 , 2021 , Pages 252-259 ; 09670874 (ISSN) ; Saeed, S ; Chen, T ; Saeed, Q ; Sharif University of Technology
Taylor and Francis Ltd
2021
Abstract
Understanding the population growth patterns of Spodoptera exigua on alternate host plants can provide valuable information for developing an effective pest management program. In this study, using age-specific lifetable indices, we evaluated the role of alternate crops commonly found in cotton agroecosystem of Pakistan to better understand population dynamics of S. exigua. The longest larval and pupal periods (16.35 and 9.95days, respectively) were observed on spinach, while the shortest periods were recorded on okra (13 days) and cauliflower (8.4 days), respectively. Relatively more female moths (61%) were produced on spinach with low rm (0.095) and λ (1.0997) while highest rm (0.120) and...
Lifetable analysis of Spodoptera exigua Hübner on alternate hosts from cotton agroecosystem for estimating annual population build-up
, Article International Journal of Pest Management ; Volume 67, Issue 3 , 2021 , Pages 252-259 ; 09670874 (ISSN) ; Saeed, S ; Chen, T ; Saeed, Q ; Sharif University of Technology
Taylor and Francis Ltd
2021
Abstract
Understanding the population growth patterns of Spodoptera exigua on alternate host plants can provide valuable information for developing an effective pest management program. In this study, using age-specific lifetable indices, we evaluated the role of alternate crops commonly found in cotton agroecosystem of Pakistan to better understand population dynamics of S. exigua. The longest larval and pupal periods (16.35 and 9.95days, respectively) were observed on spinach, while the shortest periods were recorded on okra (13 days) and cauliflower (8.4 days), respectively. Relatively more female moths (61%) were produced on spinach with low rm (0.095) and λ (1.0997) while highest rm (0.120) and...
Assessment of Global Potential of Biohydrogen Production from Agricultural Residues and Its Application in Nitrogen Fertilizer Production
, Article Bioenergy Research ; 2019 ; 19391234 (ISSN) ; Yaghmaei, S ; Mardanpour, M. M ; Sharif University of Technology
Springer
2019
Abstract
In the present study, an attempt was made to investigate the potential of some of the major world’s crops, including wheat, corn, rice, barley, sugarcane, sugar beet, potatoes, and oats, to produce biohydrogen. The collectable amount of agricultural residues that could especially be used to produce hydrogen was estimated in Africa, Asia, Central America, Europe, Northern America, Oceania, and South America, and the potential amount of ammonia as the main nitrogen fertilizer was estimated. Double exponential smoothing method was employed to forecast the future crop production and area harvested. It was calculated that about 10.56 (in 2013) and 15.5 (in 2030) Mt of biohydrogen and 59.84 (in...
Assessment of global potential of biohydrogen production from agricultural residues and its application in nitrogen fertilizer production
, Article Bioenergy Research ; 2019 ; 19391234 (ISSN) ; Yaghmaei, S ; Mardanpour, M. M ; Sharif University of Technology
Springer
2019
Abstract
In the present study, an attempt was made to investigate the potential of some of the major world’s crops, including wheat, corn, rice, barley, sugarcane, sugar beet, potatoes, and oats, to produce biohydrogen. The collectable amount of agricultural residues that could especially be used to produce hydrogen was estimated in Africa, Asia, Central America, Europe, Northern America, Oceania, and South America, and the potential amount of ammonia as the main nitrogen fertilizer was estimated. Double exponential smoothing method was employed to forecast the future crop production and area harvested. It was calculated that about 10.56 (in 2013) and 15.5 (in 2030) Mt of biohydrogen and 59.84 (in...
Assessment of global potential of biohydrogen production from agricultural residues and its application in nitrogen fertilizer production
, Article Bioenergy Research ; Volume 13, Issue 2 , 2020 , Pages 463-476 ; Yaghmaei, S ; Mardanpour, M. M ; Sharif University of Technology
Springer
2020
Abstract
In the present study, an attempt was made to investigate the potential of some of the major world’s crops, including wheat, corn, rice, barley, sugarcane, sugar beet, potatoes, and oats, to produce biohydrogen. The collectable amount of agricultural residues that could especially be used to produce hydrogen was estimated in Africa, Asia, Central America, Europe, Northern America, Oceania, and South America, and the potential amount of ammonia as the main nitrogen fertilizer was estimated. Double exponential smoothing method was employed to forecast the future crop production and area harvested. It was calculated that about 10.56 (in 2013) and 15.5 (in 2030) Mt of biohydrogen and 59.84 (in...
Formalin fumigation and steaming of various composts differentially influence the nutrient release, growth and yield of muskmelon (Cucumis melo L.)
, Article Scientific Reports ; Volume 11, Issue 1 , 2021 ; 20452322 (ISSN) ; Ali, M. A ; Smith, D. L ; Masood, S ; Qayyum, M. F ; Ahmed, N ; Rehman, A ; Ahmad, S ; Hussain, S ; Arshad, M ; Muneer, S ; Khan, A. H. A ; Fahad, S ; Datta, R ; Iqbal, M ; Schwinghamer, T. D ; Sharif University of Technology
Nature Research
2021
Abstract
Nutrient disorder and presence of disease-causing agents in soilless media negatively influence the growth of muskmelon. To combat these issues, use of environmentally-friendly sanitation techniques is crucial for increased crop productivity. The study was conducted under greenhouse and field conditions to investigate the effect of two different sanitation techniques: steaming and formalin fumigation on various media’s characteristics and their impact on muskmelon yield. Media: jantar, guar, wheat straw and rice hull and peat moss of 10% air-filled porosity and sanitized with formalin and steaming. Steaming of guar, jantar, and wheat straw increased the phosphorus (P) and potassium (K)...
One‐dimensional convolutional neural networks for hyperspectral analysis of nitrogen in plant leaves
, Article Applied Sciences (Switzerland) ; Volume 11, Issue 24 , 2021 ; 20763417 (ISSN) ; Sabzi, S ; Rohban, M. H ; Hernández‐hernández, J. L ; Gallardo‐bernal, I ; Herrera‐miranda, I ; García‐mateos, G ; Sharif University of Technology
MDPI
2021
Abstract
Accurately determining the nutritional status of plants can prevent many diseases caused by fertilizer disorders. Leaf analysis is one of the most used methods for this purpose. However, in order to get a more accurate result, disorders must be identified before symptoms appear. Therefore, this study aims to identify leaves with excessive nitrogen using one‐dimensional convolutional neural networks (1D‐CNN) on a dataset of spectral data using the Keras library. Seeds of cucumber were planted in several pots and, after growing the plants, they were divided into different classes of control (without excess nitrogen), N30% (excess application of nitrogen fertilizer by 30%), N60% (60% overdose),...
A method to estimate surface soil moisture and map the irrigated cropland area using sentinel-1 and sentinel-2 data
, Article Sustainability (Switzerland) ; Volume 13, Issue 20 , 2021 ; 20711050 (ISSN) ; Jalilvand, E ; Tajrishy, M ; Sharif University of Technology
MDPI
2021
Abstract
Considering variations in surface soil moisture (SSM) is essential in improving crop yield and irrigation scheduling. Today, most remotely sensed soil moisture products have difficulties in resolving irrigation signals at the plot scale. This study aims to use Sentinel-1 radar backscatter and Sentinel-2 multispectral imagery to estimate SSM at high spatial (10 m) and temporal resolution (at least 5 days) over an agricultural domain. Three supervised machine learning algorithms, multilayer perceptron (MLP), a convolutional neural network (CNN), and linear regression models, were trained to estimate changes in SSM based on the variation in surface reflectance and backscatter over five...
Comparison of classic classifiers, metaheuristic algorithms and convolutional neural networks in hyperspectral classification of nitrogen treatment in tomato leaves
, Article Remote Sensing ; Volume 14, Issue 24 , 2022 ; 20724292 (ISSN) ; Pourdarbani, R ; Sabzi, S ; Fernandez Beltran, R ; García-Mateos, G ; Molina Martínez, J. M ; Sharif University of Technology
MDPI
2022
Abstract
Tomato is an agricultural product of great economic importance because it is one of the most consumed vegetables in the world. The most crucial chemical element for the growth and development of tomato is nitrogen (N). However, incorrect nitrogen usage can alter the quality of tomato fruit, rendering it undesirable to customers. Therefore, the goal of the current study is to investigate the early detection of excess nitrogen application in the leaves of the Royal tomato variety using a non-destructive hyperspectral imaging system. Hyperspectral information in the leaf images at different wavelengths of 400–1100 nm was studied; they were taken from different treatments with normal nitrogen...
Evaluation of SMAP/Sentinel 1 high-resolution soil moisture data to detect irrigation over agricultural domain
, Article IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ; Volume 14 , 2021 , Pages 10733-10747 ; 19391404 (ISSN) ; Abolafia Rosenzweig, R ; Tajrishy, M ; Das, N ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2021
Abstract
Irrigation is not well represented in land surface, hydrological, and climate models. One way to account for irrigation is by assimilating satellite soil moisture data that contains irrigation signal with land surface models. In this study, the irrigation detection ability of SMAP enhanced 9 km and SMAP-Sentinel 1 (SMAP-S1), 3 km and 1 km soil moisture products are evaluated using the first moment (mean) and the second moment (variability) of soil moisture data. The SMAP enhanced 9 km soil moisture product lacks irrigation signals in an irrigated plain south of Urmia Lake, whereas SMAP-S1 products record irrigation signal in soil moisture variability. Despite observing higher variability...
Development of a mathematical methodology to investigate biohydrogen production from regional and national agricultural crop residues: A case study of Iran
, Article International Journal of Hydrogen Energy ; Volume 42, Issue 4 , 2017 , Pages 1989-2007 ; 03603199 (ISSN) ; Karimi Alavijeh, M ; Zilouei, H ; Sharif University of Technology
Elsevier Ltd
2017
Abstract
This study aims to construct a quantitative framework to assess biological production of hydrogen from agricultural residues in a country or region. The presented model is able to determine proper crops for biohydrogen production, its possible applications and use as well as environmental aspects. A multiplicative decomposition method was designed to forecast future production and Monte Carlo simulation was employed in the model to evaluate the risk of estimations. From 2013 to 2050, the hydrogen production capacity could increase from 53.59 to 164.41 kilotonnes (kt) in Iran. The highest contribution to biohydrogen production (52.1% in 2013 and 73.3% in 2050) belongs to cereal crops...
A novel integrated framework to evaluate greenhouse energy demand and crop yield production
, Article Renewable and Sustainable Energy Reviews ; Volume 96 , 2018 , Pages 487-501 ; 13640321 (ISSN) ; Heeren, N ; Hellweg, S ; Roshandel, R ; Sharif University of Technology
Elsevier Ltd
2018
Abstract
Greenhouses are complex systems that require considerable amounts of energy. In order to optimize their performance, it is necessary to reduce the amount of energy per unit of crop produced. This requires a combined assessment of greenhouse energy balance and crop growth, as well as their interaction. In this work, more than 30 existing greenhouse models are reviewed and different algorithms are combined to propose an integrated energy-yield model. The physical model of greenhouse energy demand is based on the dynamic energy and mass balance while yield production is based on a physiological crop model. The integrated model is validated with observed energy demand and crop yield datasets...
Direct transesterification of wet microalgae to biodiesel using phosphonium carboxylate ionic liquid catalysts
, Article Biomass and Bioenergy ; Volume 150 , 2021 ; 09619534 (ISSN) ; Kariminia, H. R ; Plechkova, N. K ; Ward, V. C. A ; Sharif University of Technology
Elsevier Ltd
2021
Abstract
In this study, four types of tetrabutylphosphonium carboxylate ionic liquids (ILs) were synthesized and used for a one-pot transesterification of wet Chlorella vulgaris (C. vulgaris) microalgae into fatty acid methyl esters (FAME) in the presence of methanol, as well as refined oils (sunflower, canola, and corn oil). The resulting process removed the need for complete drying and lipid extraction steps typically needed for biodiesel production from microalgae. The leading candidate ionic liquid catalyst, tetrabutylphosphonium formate ([P4444][For]), was further optimized using response surface methodology to minimize material consumption, increase water compatibility, reduce processing time...
An integrated dynamic model for evaluating the influence of ground to air heat transfer system on heating, cooling and CO2 supply in Greenhouses: Considering crop transpiration
, Article Renewable Energy ; Volume 173 , 2021 , Pages 42-56 ; 09601481 (ISSN) ; Roshandel, R ; Avami, A ; Sharif University of Technology
Elsevier Ltd
2021
Abstract
Nowadays, one of the most important challenges in developing greenhouses is meeting their energy demand. The other challenge is the high water consumption of evaporative-cooling systems in arid and semi-arid regions. In this study, a integrated dynamic model is developed to determine the greenhouse relative humidity, carbon dioxide, and temperature, considering transpiration. The model is applied to a greenhouse utilizing a ground to air heat transfer system, located in the Alborz province of Iran and the results are validated with experimental data. Energy and water performance of the greenhouse are evaluated for the case study greenhouse. Then, the model is applied to a greenhouse (similar...