Remote Sensing: An Advanced Technique for Crop Condition Assessment

Joint Authors

Ennouri, Karim
Kallel, Abdelaziz

Source

Mathematical Problems in Engineering

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-07-17

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Civil Engineering

Abstract EN

Actually, cultivators are increasingly arranging innovative high technical and scientific estimations in the aim to enhance agricultural sustainability, effectiveness, and/or plant health.

Innovative farming technologies incorporate biology with smart agriculture: computers and devices exchange with one another autonomously in a structured farm management system.

Throughout this structure, smart agriculture can be accomplished; cultivators decrease plantation inputs (pesticides and fertilizers) and increase yields via integrated pest management and/or biological control.

The emerging concept of remote sensing may provide a framework to systematically consider these issues of smart farming technology and to embed high-tech agriculture better.

The impact(s) may be beneficial depending on how tools, such as data mining, and imagery technologies, such as picture treatment and analysis, are applied.

Remote sensing technology is discussed in this review and demonstrates its possibility to create novel opportunities for scientists (and agronomists) to explore aspects of biological phenomena that cannot be accessed through usual mechanisms or processes.

American Psychological Association (APA)

Ennouri, Karim& Kallel, Abdelaziz. 2019. Remote Sensing: An Advanced Technique for Crop Condition Assessment. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1198084

Modern Language Association (MLA)

Ennouri, Karim& Kallel, Abdelaziz. Remote Sensing: An Advanced Technique for Crop Condition Assessment. Mathematical Problems in Engineering No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1198084

American Medical Association (AMA)

Ennouri, Karim& Kallel, Abdelaziz. Remote Sensing: An Advanced Technique for Crop Condition Assessment. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1198084

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1198084