Precision Agriculture and Wildlife Surveillance Using IoT for Crop Protection and Health Monitoring

AI and IoT in smart agriculture are revolutionizing the industry through intelligent monitoring and control. The proposed system consists of a mobile app and several smart sensors that communicate with the application over a network. The sensors continuously provide values for several important agricultural variables, such as humidity, temperature, and soil moisture. This system makes water management efficient at the click of a button by enabling farmers to operate industrial pump sets remotely and optimize irrigation. The system also employs AI-driven animal recognition technology to identify common crop-destroying animals, such as birds, goats, cows, and buffalo. The farmer is instantly alerted of the intruder and the necessity to act when a warning buzzer is triggered and a photo is sent to them. Aside from protecting crops from damage, this ingenious hands-free approach considerably reduces the need for human labor, enhancing the safety and efficiency of farming.

Authors

Institutions

Publication Details

Journal
Journal of ISMAC
Published
2025-07-01
DOI
https://doi.org/10.36548/jismac.2025.2.003
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Precision Agriculture and Wildlife Surveillance Using IoT for Crop Protection and Health Monitoring

G. Karthy, R. Kiruthika
Journal of ISMAC
Smart Agriculture and AI
article

Precision Agriculture and Wildlife Surveillance Using IoT for Crop Protection and Health Monitoring

G. Karthy, R. Kiruthika
article en

Abstract

AI and IoT in smart agriculture are revolutionizing the industry through intelligent monitoring and control. The proposed system consists of a mobile app and several smart sensors that communicate with the application over a network. The sensors continuously provide values for several important agricultural variables, such as humidity, temperature, and soil moisture. This system makes water management efficient at the click of a button by enabling farmers to operate industrial pump sets remotely and optimize irrigation. The system also employs AI-driven animal recognition technology to identify common crop-destroying animals, such as birds, goats, cows, and buffalo. The farmer is instantly alerted of the intruder and the necessity to act when a warning buzzer is triggered and a photo is sent to them. Aside from protecting crops from damage, this ingenious hands-free approach considerably reduces the need for human labor, enhancing the safety and efficiency of farming.

Journal of ISMACVol. 7(2)
Dhanalakshmi Srinivasan Group of Institutions (IN)
Openalex Percentile: Top 89%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Precision Agriculture and Wildlife Surveillance Using IoT for Crop Protection and Health Monitoring — G. Karthy, R. Kiruthika · Journal of ISMAC (2025) | TGRS Research Map | TGRS