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005			20260818085522.0
008			220914s2022 th uu m rtt 0| a1engxd
035			_a.b12391773
099		9	_aAIT RSPR no.TC-22-01
100	1		_aSharma, Tanka Nath
245	1	0	_aCrop prediction based on soil parameters using internet of things, machine learning, and implemented over WI-FI protocol
260			_aPathumthani : _bAsian Institute of Technology, _c2022
300			_a43 leaves : _bill.
490			_aResearch studies project report; _vno. TC-22-01
500			_aA research study submitted in partial fulfillment of the requirements the degree of Master of Engineering in Telecommunications, School of Engineering and Technology
502			_aResearch Studies Project Report (M. Eng.) - Asian Institute of Technology, 2022
520			_aWith 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	_aInternet of things
650		0	_aMachine learning _xComputer programs
650		0	_aSoils _xQuality
650		0	_aWireless communication systems
700	0		_aAttaphongse Taparugssanagorn, _eChairperson
700	0		_aTeerapat Sanguankotchakorn, _eExamination Committee
700	0		_aPoompat Saengudomlert, _eExamination Committee
710	2		_aAsian Development Bank-Japan Scholarship Program (ADB-JSP) , _eScholarship Donor
810	2		_aAsian Institute of Technology. Research studies project report; _vno. TC-22-01
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B17266
907			_a.b12391773 _bmnait _cm
902			_a240419
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