IOT-Based Fertilizer Recommendation System for Smart Agriculture

Agriculture is the key engine driving economic growth in our country. These days, smart agriculture is surpassing traditional agriculture in terms of farming productivity. Rapid technological developments in food production are necessary due to the world's growing food demand, but smallholder farmers lack the financial resources to purchase expensive monitoring equipment. We developed an Arduino-based GSM-enabled crop monitoring system to solve these issues based on product innovation. Our primary objective in this project is to maintain, control, or monitor agricultural trends or systems that provide frequent user access to data about the region. One person is frequently insufficient to monitor affairs and keep things under control. If we're going to advance, we need to focus on the agriculture monitoring system and collect more field data. Ambient temperature, moisture content, pH level, and moisture content of the soil will all be monitored by the suggested system and apparatus. To reduce reliance on rainfall, a variety of irrigation techniques are used today. Here, an agricultural monitoring system has been established using sensors such as temperature and moisture sensors. Essentially, the purpose of temperature sensors is to track temperature, whereas soil moisture sensors are used to measure soil moisture content. Using a GSM SIM 900, data is transmitted to the closest agriculture officer. When choosing the proper fertilizer, the farmer may receive guidance from officials.

Authors

Institutions

Publication Details

Published
2024-08-16
DOI
https://doi.org/10.1109/icste63875.2024.00052
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

IOT-Based Fertilizer Recommendation System for Smart Agriculture

Deshinta Arrova Dewi, Malathy Batumalay, A. Suresh, T. Sasilatha et al.
Smart Agriculture and AI
article

IOT-Based Fertilizer Recommendation System for Smart Agriculture

Deshinta Arrova Dewi, Malathy Batumalay, A. Suresh, T. Sasilatha, S. Priya, V. Sridevi
article en

Abstract

Agriculture is the key engine driving economic growth in our country. These days, smart agriculture is surpassing traditional agriculture in terms of farming productivity. Rapid technological developments in food production are necessary due to the world's growing food demand, but smallholder farmers lack the financial resources to purchase expensive monitoring equipment. We developed an Arduino-based GSM-enabled crop monitoring system to solve these issues based on product innovation. Our primary objective in this project is to maintain, control, or monitor agricultural trends or systems that provide frequent user access to data about the region. One person is frequently insufficient to monitor affairs and keep things under control. If we're going to advance, we need to focus on the agriculture monitoring system and collect more field data. Ambient temperature, moisture content, pH level, and moisture content of the soil will all be monitored by the suggested system and apparatus. To reduce reliance on rainfall, a variety of irrigation techniques are used today. Here, an agricultural monitoring system has been established using sensors such as temperature and moisture sensors. Essentially, the purpose of temperature sensors is to track temperature, whereas soil moisture sensors are used to measure soil moisture content. Using a GSM SIM 900, data is transmitted to the closest agriculture officer. When choosing the proper fertilizer, the farmer may receive guidance from officials.

INTI International University (MY), AMET University (IN)
Zero hunger
Openalex Percentile: Top 85%
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.

IOT-Based Fertilizer Recommendation System for Smart Agriculture — Deshinta Arrova Dewi, Malathy Batumalay, et al. · (2024) | TGRS Research Map | TGRS