Rethinking Soil Diagnostics: Why IoT-Based Soil Sensors are Essential for the Future of Precision Agriculture

The agricultural sector is under pressure to increase productivity to sustainably meet the global demand for food. Precision agriculture, depending on real-time data from the soil, offers an opportunity to optimize resource use and enhance crop yields. Disposable test kits, MOET, chemical analysis, and XRF traditional testing methods for soils are inefficient in terms of cost, environmental impact, and scalability. This review has brought out some of the benefits that can be accrued when soil diagnostics rely on the loT technologies, which will include real-time monitoring, high accuracy, and sustainability. The paper further talks about future research directions in topics involving AI integration and energy-efficient systems for loT.

Authors

Institutions

Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/agers65212.2024.10932884
Citations
1
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.60
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rethinking Soil Diagnostics: Why IoT-Based Soil Sensors are Essential for the Future of Precision Agriculture

Crisanto F. Gulay, Arnel C. Fajardo
1 citations
Smart Agriculture and AI
0.60
article

Rethinking Soil Diagnostics: Why IoT-Based Soil Sensors are Essential for the Future of Precision Agriculture

Crisanto F. Gulay, Arnel C. Fajardo
article en
1 citations

Abstract

The agricultural sector is under pressure to increase productivity to sustainably meet the global demand for food. Precision agriculture, depending on real-time data from the soil, offers an opportunity to optimize resource use and enhance crop yields. Disposable test kits, MOET, chemical analysis, and XRF traditional testing methods for soils are inefficient in terms of cost, environmental impact, and scalability. This review has brought out some of the benefits that can be accrued when soil diagnostics rely on the loT technologies, which will include real-time monitoring, high accuracy, and sustainability. The paper further talks about future research directions in topics involving AI integration and energy-efficient systems for loT.

Laguna State Polytechnic University (PH), Technological Institute of the Philippines (PH)
Zero hunger
Openalex Percentile: Top 19%
Smart Agriculture and AI
0.60
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.