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Introduction of a Hybrid Multi-phase Segmentation Method Emphasizing Agricultural Land Boundary Extraction based on a Combination of Active Contour Models

کلیدواژه: :Active Contour,Extraction of Agricultural Land Boundaries,Edge,Region Information,Multiphase Model

نویسندگان: sh. Haghshenas, EBADI H., KIANI A.

ناشر: علوم و فنون نقشه برداری - JOURNAL OF GEOMATICS SCIENCE AND TECHNOLOGY

Detecting Agricultural Land borders from high-resolution imagery is a major challenge due to the complex earth environment، which has become a significant issue in researches. Lack of location data to determine the area and location of Agricultural Land، to control and plan about cultivation and foo... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

مشاهده/دانلود

A Hybrid Robust Optimization Model for Day-Ahead Management of Active Distribution Networks

کلیدواژه: Robust optimization,Info-gap decision theory,Day-ahead market,Real-time market,Two-level optimization

نویسندگان: Aboli Reza, RAMEZANI MARYAM, FALAGHI HAMID

ناشر: مهندسی برق دانشگاه تبریز - Tabriz Journal of Electrical Engineering

In this paper, a hybrid day-ahead robust optimization Model is presented for the optimal operation of Active distribution networks subject to real-time operation. Maintaining the convex structure of the problem with load flow equations is the most important goal in how to robust Modeling of uncertai... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

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Evaluation of Accuracy of Hybrid Model of Gene Expression Planning-Fuzzy Logic in Estimation of Land Subsidence Risk

کلیدواژه: Fuzzy logic,Gene Expression Programming (GEP),Geographical Information System (GIS),Land subsidence,Varamin aquifer

نویسندگان: Mohebbi Tafreshi Gh., NAKHAEI M., LAK R.

ناشر: علوم زمین - GEOSCIENCES

Land subsidence is a nonlinear and complex process that data-driven computational intelligence Models can Model it. In this study, the accuracy and efficiency of hybrid fuzzy logic gene expression planning hybrid Model in estimating Land subsidence risk and its factors in Varamin aquifer standardize... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

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Designing The Most Suitable Hybrid Model for Forecasting The Future Price of Saffron in The Agricultural Commodity Exchange

کلیدواژه: Saffron Price Forecasting , Hybrid Model ,Genetic Algorithm , Deep Neural Network and Monte Carlo Method

نویسندگان: Haj Seyed Javadi Seyed Mohammad Reza, Heydari Reza

ناشر: تحقیقات اقتصاد و توسعه کشاورزی ایران - Iranian Journal of Agricultural Economics and Development Research

Saffron, as the most expensive Agricultural and medicinal product in the world, has a special place in buying and selling related to the Iranian Agricultural commodity bourse. The saffron commodity bourse, like any other market, has always faced limitations and structural problems, and most of these... ادامه

سال:2022

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

10 بازدید

مشاهده/دانلود

Prioritizing Agricultural Waste Management-Based Strategies, as a Source of Bioenergy Production, using the Hybrid Model of SWOT-ANP

کلیدواژه: Agricultural waste management, Bioenergy, biomass, Strategic planning, Renewable Energy Strategy

نویسندگان: Esmaeili Hanif, Almassi Morteza, Ghahderijani Mohammad

ناشر: تحقیقات سامانه ها و مکانیزاسیون کشاورزی - Agricultural Mechanization and Systems Research

The increasing trend of Agricultural waste, considering population growth and increased Agricultural production, has become a serious challenge for many countries. In order to avoid unsustainable changes in the consumption pattern of these resources, it is essential to employ proper planning and sui... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

14 بازدید

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Application of Hybrid Data Mining Model (Genetic Algorithm-Wavelet-Deep Neural Network-Monte Carlo Method) for Forecasting the Price of Agricultural Products: A Case Study of Future Price of Saffron in Agricultural Commodity Exchange

کلیدواژه: Forecasting, Future Price of Saffron, Genetic algorithm, Wavelet Theory, Deep learning Neural Network, Monte Carlo Method

نویسندگان: Heydari Reza, Haj Seyed Javady Seyed Mohammad Reza

ناشر: اقتصاد کشاورزی و توسعه - Journal of Agricultural Economics and Development

The price forecasting and its changes trend is one of the most important factors in decision making and formulating strategies related to Agricultural products. This study aimed at presenting a hybrid data mining Model for accurate price forecasting of Agricultural products, including nonlinear mode... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

14 بازدید

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Developing a knowledge-based Agricultural Development Model focusing on Food Security using a Hybrid approach of Grounded theory and Fuzzy Delphi

کلیدواژه: Knowledge-based agriculture,Food security,Fuzzy Delphi,Grounded theory

نویسندگان: Mohammadi Y., Asad Pourian Zeinab

ناشر: علوم ترویج و آموزش کشاورزی ایران - IRANIAN Agricultural EXTENSION AND EDUCATION JOURNAL

Productivity growth and realization of food security will depend on the transition from traditional agriculture to knowledge-based agriculture. With the ever-increasing demand for Land, water and ultimately food, the future of agriculture is not possible without knowledge and innovation. While littl... ادامه

سال:2022

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

11 بازدید

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Prediction of Land Cover Changes in Horizon of 2028 through a Hybrid Model of Markov Chain and Cellular Automata; Catchment Area around Bazangan Lake Case Study

کلیدواژه: Prediction of Changes,Markov Chain Model,Cellular Automata,Bazangan Lake,Remote Sensing

نویسندگان: ALIKHAH ASL M., REZVANI F.

ناشر: تحقیقات جغرافیایی - GEOGRAPHICAL RESEARCH

Introduction and Background Detection and prediction of changes are necessary for maintenance of an ecosystem particularly in rapidly-changing and often unplanned regions in developing countries. Aims This study predicts the Land use changes in catchment area around Bazangan Lake for the year of 202... ادامه

سال:2018

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

16 بازدید

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Land Cover Change Modeling Using a Hybrid Approach and Remote Sensing Data

کلیدواژه: Scenario development,Artificial neural network,Multi-objective land optimization,Markov chain,Accuracy assessment

نویسندگان: Joorabian Shooshtari Sharif

ناشر: جغرافیا و پایداری محیط - Geography and Environmental Sustainability

WetLands are vital for human survival and constitute 40. 6% of the total value of global ecosystem services. This study analyzed Land cover changes in the Golpayegan Shoor wetLand from 1988 to 2018 and then Modeled it with a combination of artificial neural network, Markov chain, and multi-objective... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

8 بازدید

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Utilization of Land Pawning in Customary Law and Its Solutions Under Islamic Law

کلیدواژه: Customary Law ؛ Islamic Law ؛ Land Pawning ؛ Multi-Contract

نویسندگان: Rosyadi, Imron ؛ Rizka, Rizka

ناشر: Muhammadiyah University Press

Purpose: This research aims to ascertain the practice of Land pawning as security for loans and understand its law. A Land pawner utilizes the collateral and retains the proceeds. However, a Land pawnbroker is not entitled to obtain the pawner’s Land management results. Methodology: This study belon... ادامه

سال:2022

لینک به محتوا با زبان هدف

نوع سند: Article

205 دانلود

266 بازدید

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