Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The automated smart agricultural field monitoring and protection system prototype was created utilising easily available hardware and firmware to assist farmers in avoiding several aspects that typically result in crop yield loss. It is typically challenging to continuously monitor the weather and environment, so we have proposed a project in the crop field to use IOT, including Arduino and sensors like temperature sensors, moisture sensors, and humidity sensors that measure the key parameters throughout the day, to supervise the weather and any environmental changes. IOT is also used to transmit parameters that are measured by sensors. Using determined parameters, we can spray insecticides to identify and prevent loss in the crop yield.
Keywords:
Arduino,supervise,Iot.
Cite Article:
"FULLY AUTOMATED SMART CROP FIELD PROTECTION AND MONITORING SYSTEM AGAINST NUMEROUS BEHAVIOURS OF WILD ANIMALS ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 1, page no.298 - 301, January-2023, Available :http://www.ijrti.org/papers/IJRTI2301047.pdf
Downloads:
000191
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn