Crop prediction based on soil parameters using internet of things, machine learning, and implemented over WI-FI protocol (Record no. 24679)

MARC details
000 -LEADER
fixed length control field 03969nas a2200421 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260818085522.0
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035 ## - SYSTEM CONTROL NUMBER
System control number .b12391773
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT RSPR no.TC-22-01
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Sharma, Tanka Nath
245 10 - TITLE STATEMENT
Title Crop prediction based on soil parameters using internet of things, machine learning, and implemented over WI-FI protocol
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathumthani :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Extent 43 leaves :
Other physical details ill.
490 ## - SERIES STATEMENT
Series statement Research studies project report;
Volume/sequential designation no. TC-22-01
500 ## - GENERAL NOTE
General note A research study submitted in partial fulfillment of the requirements the degree of Master of Engineering in Telecommunications, School of Engineering and Technology
502 ## - DISSERTATION NOTE
Dissertation note Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2022
520 ## - SUMMARY, ETC.
Summary, etc. With the increase in human pressure on natural resources to produce enough food for everyone, it has become necessary to find easier, economical, and sustainable agricultural practices. Using an Internet of Things (IoT) system along with machine learning algorithms could greatly enhance the ways we are doing farming in the present day. The most important factor for a good agricultural yield is to know the suitability of a crop for the land. We propose a low-cost, simple, and durable IoT-based system for the two following purposes: 1.) predicting crops suitable for a given piece of land based on the soil parameters, namely, soil potential of Hydrogen (pH) and soil temperature and 2.) monitoring and automating some of the recurrent processes, i.e., adding fertilizer such as Nitrogen, Phosphorous, and Potassium (NPK) and irrigation of the land. If the NPK levels for growing locations are good, then we can decide not to add additional fertilizers. We found that the proposed IoT based system can suggest a crop as well as monitor and control soil parameters throughout a crop life cycle. Thus, the system can help a farmer cultivate crops that are naturally suitable for his/her land, minimize human interaction, optimize the use of fertilizers and water resources, and reduce the necessity of chemicals such as pesticides and weedicides. Additionally, it can store these soil pa rameters which could be of use for further study and analysis. The proposed IoT-based system is built with open-source technologies, including communication protocols such as Modbus and MQTT, easily available hardware such as ESP32 microcontroller, solar panel, rechargeable batteries, relays etc, and software such as InfluxDB and Node-RED. Consequently, the system is cost-effective and adaptable to future changes. In future, this system can be improved by incorporating a machine learning technique making use of soil parameters to predict disease and crop yield.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Internet of things
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning
General subdivision Computer programs
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Soils
General subdivision Quality
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Wireless communication systems
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Attaphongse Taparugssanagorn,
Relator term Chairperson
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Teerapat Sanguankotchakorn,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Poompat Saengudomlert,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Development Bank-Japan Scholarship Program (ADB-JSP) ,
Relator term Scholarship Donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology. Research studies project report;
Volume/sequential designation no. TC-22-01
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B17266">http://203.159.5.9/ait-thesis/detail.php?q=B17266</a>
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998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 220914
First date, FD (RLIN) m
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 67-Electronic Resource
909 ## - LOCAL ITEMS USED
Barcode Barcode : 30020220005634
CREATED CREATED : 2022-09-13
RECORD Id RECORD # : i13399135
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Barcode Barcode : -
CREATED CREATED : 2022-09-13
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026   AIT RSPR no.TC-22-01 30020220005634 18/08/2026 1 18/08/2026 40-Archives
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 18/08/2026   AIT RSPR no.TC-22-01   18/08/2026   18/08/2026 67-Electronic Resource
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