Search In this Thesis
   Search In this Thesis  
العنوان
Precision Agriculture And Its Applications/
المؤلف
Omar, Ahmed Ahmed Ahmed .
هيئة الاعداد
باحث / Ahmed Ahmed Ahmed Omar
مشرف / Ayman M. Helmy
مشرف / Sameh Mohamed Shaddad
مناقش / Usama M. Abde El Moneam
الموضوع
Soil Science.
تاريخ النشر
2022.
عدد الصفحات
95 P. ;
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الزراعية والعلوم البيولوجية (المتنوعة)
تاريخ الإجازة
26/10/2022
مكان الإجازة
جامعة الزقازيق - كـليـــة الزراعـــة - علوم الاراضي والمياه
الفهرس
Only 14 pages are availabe for public view

from 113

from 113

Abstract

Precision Agriculture uses modern technologies such as satellite imagery or field mapping to improve crop quality and profitability. Moreover, it optimizes the use of traditional resources. Therefore, this agricultural management system contributes to the development of sustainable agriculture, allowing to solve both economic and ecological problems, which are becoming more accurate. Among the technologies used in such a system are GPS, drones, and satellite images. Based on this data, farmers receive information on all key issues: crop status, weather forecasts, environmental changes, etc. Also, the important difference between precision farming and traditional agriculture is the ability to manage fields not as a single block but by dividing them into separate areas. Such zoning allows diversifying management decisions for individual field parts: adjusting the fertilizer amount, optimizing technique movement, and using fuel more frugally. Precision agriculture is considered as a management strategy that uses all available information about the soil plant system to provide the best decision that maximizes the plant production. It includes three basic steps: 1) assessing variation, 2) managing variation and 3) evaluation. The goals of precision agriculture include maximizing the productivity, minimizing costs, and concurrently reducing the environmental impact. There are different instruments to apply precision agriculture which can be used remotely or proximally. These sensors provide fine-scale information about soil and plant status. Modeling is also an important component of precision agriculture since it allows together with the sensed data to predict a certain property of un-sampled locations. Modeling includes the application of different algorithms such as Kriging and its various interpolators. One of the outcomes of precision agriculture is what so-called site-specific management zones. The management zones are zones characterized by the same yield limiting factors. Once the management zones are delineated it will be easy to calculate the needed amounts of agricultural inputs e.g. fertilizations, pesticides, irrigation water EC in terms of where and how much these agricultural inputs should be added to soil. It is recommended worldwide to apply precision agriculture techniques as they allow optimizing the available resources and hence achieving some of the sustainability goals through maximizing productivity and then less hunger.