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Abstract

Global warming and climate change are some of the most widely discussed topics in today's society, and they are of considerable importance to agriculture globally. Climate change directly affects agricultural production. On the other hand, the agricultural sector is inherently sensitive to climate conditions, and this has made the agricultural sector one of the most vulnerable sectors to the effects of global climate change. Rising CO2 levels in the atmosphere, increased temperature, and altering precipitation patterns all substantially influence agricultural insect pests and agricultural productivity. Climate change has a number of implications for insect pests. They can lead to a decreased biological control effectiveness, particularly natural enemies, increased incidence of insect-transmitted plant diseases, increased risk of migratory pest invasion, altered interspecific interaction, altered synchrony between plants and pests, increase in the number of generations, increased overwintering survival, and increase in geographic distribution. As a consequence, agricultural economic losses are a real possibility, as is a threat to human food and nutrition security. Global warming will necessitate sustainable management techniques to cope with the altering state of pests, as it is a primary driver of pest population dynamics. Future studies on the impacts of climate change on agricultural insect pests might be prioritized in several ways. Enhanced integrated pest control strategies, the use of modelling prediction tools, and climate and pest population monitoring are only a few examples.
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Authors and Affiliations

Alim Al Ayub Ahmed
1
ORCID: ORCID
Marziah Zahar
2
ORCID: ORCID
Vera Gribkova
3
ORCID: ORCID
Natalia Nikolaeva
3
Ngakan Ketut Acwin Dwijendra
4
ORCID: ORCID
Wanich Suksatan
5
ORCID: ORCID
Karrar Kamil Atiyah
6
ORCID: ORCID
Abduladheem Turki Jalil
7
ORCID: ORCID
Surendar Aravindhan
8
ORCID: ORCID

  1. Jiujiang University, School of Accounting, 551 Qianjin Donglu, Jiujiang, Jiangxi, China
  2. Universiti Utara Malaysia, School of Business Management, Sintok, Kedah, Malaysia
  3. Moscow State University of Technology and Management named after K.G. Razumovsky (The First Cossack University), Department of Biology, Moscow, Russia
  4. Udayana University, Faculty of Engineering, Denpasar, Bali, Indonesia
  5. HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Faculty of Nursing, Bangkok, Thailand
  6. Al-Ayen University, Faculty of Health, Dhi-Qar, Iraq
  7. Al-Mustaqbal University College, Medical Laboratories Techniques Department, Babylon, Hilla, Iraq
  8. Saveetha Institute of Medical and Technical Sciences, Department of Pharmacology, Chennai, India
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Abstract

Today, the uncontrolled abstraction of surface water and groundwater resources has created adverse consequences, which include: extinction of living organisms, land subsidence, salinity of coastal aquifers, increased pumping energy. Therefore, the need to manage available water resources is felt more than ever. Among the various water uses (agriculture, drinking, and industry), agriculture accounts for the bulk of water consumption. Due to the climate change and the growing population, determining the appropriate strategy and technology for irrigation is necessary. In the current study, a simulation model is used to numerically simulate the dynamics of daily soil moisture during the potato crop growing season and to estimate crop production and economic benefits. For climatic data, daily observations of a meteorological station have been used. Results and analyses have been presented for all cases of micro and traditional irrigation methods and agricultural management strategies of non-stress irrigation, low irrigation, and rainfed cultivation. The results showed that in the non-stress irrigation method, crop production and net profit are almost equal in both traditional and micro methods. In the low irrigation method, microtechnology has made crop production and net profit 1.75 times more than traditional technology, which indicates the impact of irrigation technology on crop production.
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Authors and Affiliations

Ngakan Ketut Acwin Dwijendra
1
ORCID: ORCID
Mahmood Salih Salih
2
ORCID: ORCID
Maria Jade Catalan Opulencia
3
ORCID: ORCID
Larisa Morozova
4
Elena S. Sergushina
5
ORCID: ORCID
Muhammad Noor Asnan
6
ORCID: ORCID
Mustafa Mohammed Kadhim
7 8
ORCID: ORCID
Manoharan Kavitha
9
ORCID: ORCID

  1. Udayana University, Faculty of Engineering, Kampus Bukit, Jl. Raya Kampus Unud Jimbaran, Kec. Kuta Sel., Kabupaten Badung, Bali 80361, Indonesia
  2. University of Anbar, Upper Euphrates Basin Developing Center, Ramadi, Iraq
  3. College of Business Administration, Ajman University, Ajman, United Arab Emirates
  4. Kurgan State Agricultural Academy by T.S. Maltsev, Faculty of Biotechnology, Lesnikovo village, Russia
  5. National Research Ogarev Mordovia State University, Republic of Mordovia, Saransk, Russia
  6. Universitas Muhammadiyah Kalimantan Timur, Faculty of Science and Engineering, Samarinda, Indonesia
  7. Al-Kut University College, Kut, Iraq
  8. The Islamic University, College of Technical Engineering, Najaf, Iraq
  9. Saveetha University, Saveetha School of Engineering, Department of ECE, Chennai, India
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Abstract

Surface and groundwater resources are two important sources in meeting agricultural, urban, and industrial needs. Random supply of surface water resources has prevented these resources from being a reliable source of water supply at all times. Therefore, groundwater acts as insurance in case of water shortage, and maintaining the quality of these resources is very important. On the other hand, studying vulnerability and identifying areas prone to aquifer pollution seems necessary for the development and optimal management of these valuable resources. Identifying the vulnerabilities of the aquifer areas to pollution will lead to a greater focus on preserving those areas. Therefore, groundwater quality assessment was performed in this study using the groundwater quality index (GQI), and groundwater vulnerability to pollution was assessed using the DRASTIC index. GQI is developed based on the values of six quality parameters (Na +, Mg 2+, Ca 2+, SO 42–, Cl, and TDS). The DRASTIC index is developed based on the values of seven parameters (depth to the water table, net recharge, aquifer media, soil media, topography, impact of vadose zone, hydraulic conductivity). The zoning of both indexes has been done using geographic information system (GIS) software. The results show that the GQI of the region was about 93, and its DRASTIC index was about 86. Therefore, the quality of aquifer groundwater is excellent, and its vulnerability to pollution is low.
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Authors and Affiliations

Siti Mardiana
1
ORCID: ORCID
Rabeya Anzum
2
ORCID: ORCID
Ngakan Ketut Acwin Dwijendra
3
ORCID: ORCID
Ahmad Azhar Mansoor Al Sarraf
4
ORCID: ORCID
Anton Timoshin
5
ORCID: ORCID
Elena Sergushina
6
ORCID: ORCID
Iskandar Muda
7
ORCID: ORCID
Natalia Zhilnikova
8
ORCID: ORCID
Yasser Fakri Mustafa
9
ORCID: ORCID
Evgeny Tikhomirov
10
ORCID: ORCID

  1. Universitas Medan Area, Faculty of Agriculture, Medan, 20223, North Sumatera, Indonesia
  2. International Islamic University, Department of Electrical and Computer Engineering, Kuala Lumpur, Malaysia
  3. Udayana University, Faculty of Engineering, Bali, Indonesia
  4. Sawah University, College of Health and Medical Technology, Department of Medical Laboratory, Ministry of Higher Education and Scientific Research, Al-Muthanna, Samawa, Iraq
  5. I.M. Sechenov First Moscow State Medical University (Sechenov University), Department of Propaedeutics of Dental Diseases, Russia
  6. National Research Ogarev Mordovia State University, Republic of Mordovia, Saransk, Russia
  7. Universitas Sumatera Utara, Faculty Economic and Business, Department of Doctoral Program, Medan, Indonesia
  8. Saint Petersburg State University of Aerospace Instrumentation (SUAI), Institute of Fundamental Training and Technological Innovations, Russia
  9. University of Mosul, College of Pharmacy, Department of Pharmaceutical Chemistry, Iraq
  10. Bauman Moscow State Technical University, Department of Economics and Management, Russia

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