-
Open Access Article
1 - Modeling factors affecting the acceptance of drone technology among Kermanshah potato farmers (Logit model application)
Mojtaba Shekarbeigi shahpar geravandi Farahnaz RostamiAgricultural development is one of the most important priorities in the national development programs of developing countries. This cannot be achieved without applying and using new technologies in the agricultural sector through precision agriculture. Since the accepta MoreAgricultural development is one of the most important priorities in the national development programs of developing countries. This cannot be achieved without applying and using new technologies in the agricultural sector through precision agriculture. Since the acceptance and application of this type of technology is facing challenges and obstacles; The aim of this quantitative study is to "investigate the factors influencing the adoption of UAV technology in two retrospective and prospective perspectives". The required information was collected in the form of questionnaires made by the researcher among the potato farmers of Kermanshah city. In order to analyze the data, the statistical method of logistic regression was used. The findings indicated that only three variables of perceived risks, the intention to use drones and the perceived need for technology were effective on the acceptance of drone technology, so that by reducing each of these variables, the possibility of increasing the adoption of drone technology among farmers. Potatoes work more. Therefore, holding promotional courses and granting financial facilities to potato farmers can be effective in facilitating the adoption of drone technology. Manuscript profile -
Open Access Article
2 - Futures Studies in Weed Sciences (Review of Future Research Needs and Emerging Technologies)
Ebrahim Izadi Darbandi Arash MaghsoodiCompared to other agricultural sciences, weed science is a new science, but it has been considered as an old tradition and method. Weeding was one of the first method in weed control, but with the over of time and the invention of agricultural tools, new methods for wee MoreCompared to other agricultural sciences, weed science is a new science, but it has been considered as an old tradition and method. Weeding was one of the first method in weed control, but with the over of time and the invention of agricultural tools, new methods for weed control were introduced and have been more or less used until. However, Today, challenges have been created in this science, the most important of which are the emergence of herbicide-resistant biotypes, reduction of the effectiveness of old herbicides, the lack of weed management methods and the reduction of the introduction of herbicides with new modes of action. In the future, according to the need, it is important to introduce natural compounds as a suitable option to discover a new site of action and produce bio-herbicides. Also, genetic engineering will be considered as another tool for adjusting the selective properties of herbicides and creating new management methods. Computer science and robotic, which include electronic eyes, sensors for distinguishing crops from weeds, and other tools related to engineering sciences, are also important and needed in weed management that are being developed and processed. Also, combining old methods with new tools can be considered as a suitable option for sustainable management of weeds. Manuscript profile -
Open Access Article
3 - Estimation of actual evapotranspiration in pistachio orchards using SEBAL algorithm in three irrigation system
Soheil RadiomBackground and ObjectiveOver the past 100 years, the country has lost about 90 percent of its per capita renewable water. About 90% of the country's renewable water resources are allocated to the agricultural sector. With the increase in the area of pistachio orchards a MoreBackground and ObjectiveOver the past 100 years, the country has lost about 90 percent of its per capita renewable water. About 90% of the country's renewable water resources are allocated to the agricultural sector. With the increase in the area of pistachio orchards and the increase in demand for water on the one hand and the limited water resources in the region, on the other hand, the imbalance between supply and demand for water is sharply increasing. In this regard, the most important step to prevent water loss is the uniform distribution of water on the field, optimal at each stage of growth. About 99% of the water absorbed by the plant is used for evapotranspiration. Therefore, studying this phenomenon can play an important role in determining the water needs of plants. It is difficult to measure the actual evapotranspiration outside the laboratory. Many experimental methods have been developed to estimate actual and potential evapotranspiration using meteorological and climatic data. But most of these methods are only able to estimate potential evapotranspiration and do not estimate the actual amount of it. In contrast, remote sensing methods have been developed that are a good solution for estimating the actual evapotranspiration. Satellite imagery with global coverage and repetitive Acquisition has made it possible to monitor evapotranspiration at the field level and during plant growth. Various studies have been conducted to estimate the actual evapotranspiration of agricultural areas using satellite images, which indicate the acceptable accuracy of these methods. However, most of this research is related to agricultural fields and no significant research has been done to estimate evapotranspiration at the orchards. Vegetation at the farms is uniform and homogeneous compared to orchards, so the estimation of vegetation index, which is one of the inputs of the SEBAL model in orchards is more difficult than agricultural fields, which can affect the final accuracy. Therefore, the main purpose of this study is to estimate the amount of evapotranspiration in the pistachio orchard using the SEBAL algorithm and evaluate the accuracy of estimation. Also, this research has beenMaterials and Methods The present research has been carried out in pistachio orchards in Zarandieh city of Markazi province. The gardens had three different irrigation systems including flood irrigation systems, surface, and subsurface drip irrigation systems. Actual evapotranspiration is estimated using water balance and SEBAL algorithm. Meteorological data from Imam Airport Synoptic Station and Landsat8 satellite imagery has been used to estimate evapotranspiration using the SEBAL algorithm. Actual evapotranspiration is estimated at satellite overpass times during the growing season. To select hot and cold pixels in the SEBAL algorithm, the semi-automatic method proposed by Oldmo is used, which minimizes user participation in the selection of hot and cold pixels. To evaluate the accuracy of evapotranspiration estimation, the information of soil moisture sensors in the orchard has been used. 28 sensors measure soil moisture in different parts of the orchard. Using the soil moisture values, the actual evapotranspiration was estimated using the water balance method and used as a reference value.Results and Discussion A comparison of the results of the SEBAL algorithm and water balance method showed that the SEBAl algorithm was able to estimate the actual evapotranspiration in different parts of the orchard with an RMS error of 0.57. In addition, the correlation between the values estimated by the two methods was equal to 0.82, which indicates the appropriate capability of the SEBAL algorithm in estimating evapotranspiration values. The correlation between the actual evapotranspiration estimated from the SEBAL model and the reference evapotranspiration is 0.76. In addition, in the research, changes in the evapotranspiration in different parts of the garden and also gardens with different irrigation systems including flood, surface, and subsurface drips have been investigated. The results show that the orchard with subsurface irrigation had the lowest average of evapotranspiration on different dates. Considering that evapotranspiration is equal to the sum of evaporation from the soil surface and transpiration from the plant, this decrease can be attributed to the decrease in evaporation from the soil surface. In addition, evapotranspiration heterogeneity can be observed in all parts of orchards with the same irrigation system on all dates. For example, in the orchard with a flood irrigation system, parts of the garden show low evapotranspiration, which can be due to the lack of smoothing of the surface and lack of proper moisture in these areas. Obviously, the same amount of moisture accumulates in other parts of the garden and is inaccessible through deep percolation. This uneven distribution is also observed in the garden with a surface drip irrigation system. For example, the middle part of the garden with surface drip irrigation always shows a higher amount of evapotranspiration, which can indicate the loss of water in this part, due to the miss-operation of the dripper. To evaluate the difference in evapotranspiration in different irrigation systems, the average, minimum, maximum, and standard deviation values of evapotranspiration in orchards related to three different irrigation systems have been calculated. The results showed that in all dates, the ranges and standard deviation of evapotranspiration in the flood irrigation system were higher than in other systems, which indicates the lack of uniform irrigation in the orchard. Also, on all dates, the average amount of evapotranspiration in the orchard with a surface drip irrigation system has been more than flood irrigation system. Vegetation in orchards with drip irrigation systems (surface and subsurface) was denser compared to the flood irrigation systems.Conclusion In this study, the actual evapotranspiration of pistachio orchards has been estimated using satellite imagery and the SEBAL algorithm. The results of the study indicate the appropriate accuracy of the SEBAL algorithm in estimating the actual evapotranspiration of the orchards. Compared with the water balance method, the correlation coefficient was 0.82 and the root means the square error was 0.57. In addition, comparing the moisture situation in different parts of the orchard and in orchards with different irrigation systems has shown that by estimating the actual evapotranspiration using satellite imagery, appropriate information can be obtained on how to distribute moisture in the garden. This information provides valuable information on the optimal management of water resources and increases irrigation efficiency. Other results of this research include the significant difference between surface and subsurface drip irrigation methods. The results show that using subsurface irrigation methods can effectively reduce irrigation water loss due to evaporation from the soil surface. The results show that in areas where there is no access to information from soil moisture sensors or direct measurements of evapotranspiration, the use of the SEBAL algorithm and remote sensing methods can provide appropriate information for optimal water management. Manuscript profile -
Open Access Article
4 - Feasibility Study of Application of Precision Agriculture for Productivity of Manufacturing and commercialization Organic Crops
Mohsen Poorzabolzade Azita Zand Sahare Dehyuori -
Open Access Article
5 - Review of integrating IOT and GIS potential to improve agricultural activities
Giti KhoshAmoozAgriculture is an activity which is directly related to food security. Increasing of population and limited resources enhance the importance of this field. Therefore, there is a need to apply smart methods to achieve sustainable development and precision agriculture. In MoreAgriculture is an activity which is directly related to food security. Increasing of population and limited resources enhance the importance of this field. Therefore, there is a need to apply smart methods to achieve sustainable development and precision agriculture. In these methods, a lot of sensors are required to collect data because there are number of geographical, social, environmental and economic factors which affect agricultural activities. So we should deal with a lot of data which most of them have spatial aspects. In the other hand, GIS is a best solution to manage and analysis spatial data. This indicates potential of integrating of GIS and IOT to improve agricultural activities. In previous studies, efficiency of GIS in agricultural activities have been proved. Moreover, in recent studies, applications of IOT in agriculture have been grown significantly. However, few studies have investigated integration of GIS and IOT for this purpose. GIS provides wide variety of tools to manage data. Obtained data from sensors can be classified or data mining methods such as clustering can be applied to discover knowledge. Spatial correlation between different parameters can be calculated based on spatial statistics toolboxes and pie charts and bar charts allow comparison between different parameters in different spatial units such as agricultural parcels, regions, villages and counties.In logistics, GIS can utilize network analysis to offer fastet and or best routes to reduce time and cost of delivering products from producers to users. Moreover, integration of GIS and MCDM is useful for nursery management which are related to different criteria such as temperature, lighting and humidity. In the field of livestock, it is possible to pinpoint location of cattles on map in the moment and calculate their population density. In the field of irrigation, GIS can help us to investigate quality of groundwaters by applying spatial statistics methods. Manuscript profile -
Open Access Article
6 - A Survey on the Comparison between Precision and Traditional Agriculture by Budgeting Method
Maryam Gharehbeigloo Sahar Dehyouri Azita Zand -
Open Access Article
7 - Identify the Barriers to the Application of Precision Agriculture in Khouzestan Province, Iran
Atefeh Yazdanifar -
Open Access Article
8 - ادراک کارشناسان کشاورزی نسبت به موانع پذیرش کشاورزی دقیق
اصغر باقری نیر امامیکشاورزی دقیق پتانسیل بالایی برای افزایش محصولات کشاورزی، کاهش هزینه و حفظ محیط­زیست دارد، ولی پذیرش این فناوری­ها با موانعی مواجه است که لازم مورد توجه قرار گیرد. با استفاده از نمونه­ای متشکل از 142 کارشناس کشاورزی، این پیمایش برای شناسایی ادراک کارشناسان نس Moreکشاورزی دقیق پتانسیل بالایی برای افزایش محصولات کشاورزی، کاهش هزینه و حفظ محیط­زیست دارد، ولی پذیرش این فناوری­ها با موانعی مواجه است که لازم مورد توجه قرار گیرد. با استفاده از نمونه­ای متشکل از 142 کارشناس کشاورزی، این پیمایش برای شناسایی ادراک کارشناسان نسبت به موانع کشاورزی دقیق دراستان اردبیل، ایران انجام شد. ابزار جمع آوری داده­ها پرسشنامه­ای بود که روایی آن توسط گروهی از اساتید دانشگاه تایید گردید. یک مطالعه راهنما به کمک 30 کارشناس انجام شد که مقدار آلفا بیانگر پایایی بالای ابزار تحقیق بود. به علت شیوع کووید 19 جمع­آوری داده­ها بصورت مجازی انجام شد. نتایج نشان داد که کارشناسان دانش خوبی نسبت به کشاورزی دقیق داشتن. پنج عامل فقدان دانش، موانع اقتصادی، فقدان تعامل بین کشاورزان- ترویج، مساله امنیت داده­ها، و فقدان دسترسی، 34/73 درصد از واریانس موانع پذیرش فناوری­های کشاورزی دقیق را تبیین کرده­اند. باتوجه به فقدان دانش و تعامل ضعیف کشاورز – مروج، لازم است فعالیت­های آموزشی ترویجی برای ارتقای آگاهی­ کشاورزان در زمینه کشاورزی دقیق صورت گیرد. جهت رفع موانع اقتصادی لازم است تسهیلات و اعتبارات لازم برای توسعه و کابرد این فناوری­ها تخصیص یابد. در خصوص موانع امنیت دادهها و عدم دسترسی، دولت و سازمانهای وابسته باید در رفع مشکلات دسترسی به اینترنت اقدام نمایند. همچنین، آموزش و امکانات لازم برای حفظ امنیت داده­ها به کشاورزان ارایه گردد. با توجه به تاثیر ادراک سـودمندی بر نگـرش، لازم است آموزش­های ضمن خدمت بـرای اصلاح دانش و ادراک کارشناسـان نسبت به سـودمندی این فناوریهـا ارایه شـود. مزارع نمایشی کشاورزی دقیق در مراکز تحقیقاتی یا مزارع کشاورزان با تعامل کارشناسان می­تواند موثر باشد Manuscript profile -
Open Access Article
9 - Investigation of the Temporal Management of Pistachio Pests Control in Iran
Mohammad Abdollahi Ezatabadi Mahdi Basirat Reza Sedaghat
Sanad
Sanad is a platform for managing Azad University publications
Links
Related Centers
Technical Support
Official pages
The rights to this website are owned by the Raimag Press Management System.
Copyright © 2021-2024