مروری جامع بر اتوماسیون در کشاورزی با استفاده از هوش مصنوعی
ترجمه نشده

مروری جامع بر اتوماسیون در کشاورزی با استفاده از هوش مصنوعی

عنوان فارسی مقاله: مروری جامع بر اتوماسیون در کشاورزی با استفاده از هوش مصنوعی
عنوان انگلیسی مقاله: A comprehensive review on automation in agriculture using artificial intelligence
مجله/کنفرانس: هوش مصنوعی در کشاورزی – Artificial Intelligence in Agriculture
رشته های تحصیلی مرتبط: مهندسی کشاورزی، مهندسی کامپیوتر
گرایش های تحصیلی مرتبط: مکانیزاسیون کشاورزی، هوش مصنوعی
کلمات کلیدی فارسی: اتوماسیون هوش مصنوعی، آبیاری، یادگیری ماشین
کلمات کلیدی انگلیسی: Automation artificial intelligence, Irrigation, Machine learning
نوع نگارش مقاله: مقاله مروری (Review Article)
نمایه: DOAJ
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.aiia.2019.05.004
دانشگاه: Gandhinagar Institute of Technology, Gandhinagar, Gujarat, India
صفحات مقاله انگلیسی: 12
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
شناسه ISSN: 2589-7217
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E14593
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست مطالب (انگلیسی)

Abstract

1- Introduction

2- Literature survey

3- Artificial neural networks in agriculture

4- Automation and wireless system networks in agriculture

5- Implementation of fuzzy logic systems in agriculture

6- Proposed idea

7- Future scope

8- Conclusion

Acknowledgements

References

بخشی از مقاله (انگلیسی)

Abstract

Agriculture automation is the main concern and emerging subject for every country. The world population is increasing at a very fast rate and with increase in population the need for food increases briskly. Traditional methods used by farmers aren’t sufficient enough to serve the increasing demand and so they have to hamper the soil by using harmful pesticides in an intensified manner. This affects the agricultural practice a lot and in the end the land remains barren with no fertility. This paper talks about different automation practices like IOT, Wireless Communications, Machine learning and Artificial Intelligence, Deep learning. There are some areas which are causing the problems to agriculture field like crop diseases, lack of storage management, pesticide control, weed management, lack of irrigation and water management and all this problems can be solved by above mentioned different techniques. Today, there is an urgent need to decipher the issues like use of harmful pesticides, controlled irrigation, control on pollution and effects of environment in agricultural practice. Automation of farming practices has proved to increase the gain from the soil and also has strengthened the soil fertility. This paper surveys the work of many researchers to get a brief overview about the current implementation of automation in agriculture. The paper also discusses a proposed system which can be implemented in botanical farm for flower and leaf identification and watering using IOT.

Introduction

With the advent of technology in this digital world, we humans have pushed our limit of the thinking process and are trying to coalesce normal brain with an artificial one. This continuing exploration gave birth to a whole new field Artificial intelligence. It is the process by which a human can make an intelligent machine. AI comes under the domain area of computer science which can be able to discern its milieu and should thrive to maximize the rate of success. AI should be able to do work based on past learning. Deep learning, CNN, ANN, Machine learning are certain domains which enhances the machine work and helps to develop a more advance technology.

The term IOT is elucidated as “thing to thing” communication. The three main targets are communication, automation and cost saving in the system. Dr. D.K. Sreekantha, Kavya.A.M provides the in-depth application of IOT in the field of agriculture and how it can be helpful to the humans.