Precision Farming With Iot: Soil Nutrient Analysis And Fertilization Recommendation System

Precision farming, propelled by the Internet of Things (IoT), is a groundbreaking method in contemporary agriculture that improves efficiency and production by using sophisticated technologies.The core component of this revolution is the Soil Nutrient Analysis and Fertilisation Recommendation System, which utilises IoT sensors to provide immediate, practical information about soil health.This technology constantly analyses soil parameters, such as moisture levels, nutrient content, and pH balance, and offers accurate suggestions for fertilisation.Through the integration of data collected from many sensors and the use of advanced analytics, farmers may make well-informed choices, optimise the utilisation of fertilisers, and enhance crop yields.This strategy not only optimises the use of resources but also reduces the negative effects on the environment, representing a notable advancement in sustainable farming methods.

Authors

Publication Details

Journal
African Journal of Biomedical Research
Published
2024-12-24
DOI
https://doi.org/10.53555/ajbr.v27i4s.5436
Citations
1
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.60
Controls
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article

Precision Farming With Iot: Soil Nutrient Analysis And Fertilization Recommendation System

Baidyanath Ram
1 citations
African Journal of Biomedical Research
Smart Agriculture and AI
0.60
article

Precision Farming With Iot: Soil Nutrient Analysis And Fertilization Recommendation System

Baidyanath Ram
article en
1 citations

Abstract

Precision farming, propelled by the Internet of Things (IoT), is a groundbreaking method in contemporary agriculture that improves efficiency and production by using sophisticated technologies.The core component of this revolution is the Soil Nutrient Analysis and Fertilisation Recommendation System, which utilises IoT sensors to provide immediate, practical information about soil health.This technology constantly analyses soil parameters, such as moisture levels, nutrient content, and pH balance, and offers accurate suggestions for fertilisation.Through the integration of data collected from many sensors and the use of advanced analytics, farmers may make well-informed choices, optimise the utilisation of fertilisers, and enhance crop yields.This strategy not only optimises the use of resources but also reduces the negative effects on the environment, representing a notable advancement in sustainable farming methods.

African Journal of Biomedical Research
Zero hunger
Openalex Percentile: Top 20%
Smart Agriculture and AI
0.60
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