A Review: Artificial Intelligence Related to Agricultural Equipment Integrated with the Internet of Things DOI Creative Commons
Juhen Wildan

Journal of Advanced Technology and Multidiscipline, Journal Year: 2023, Volume and Issue: 2(2), P. 47 - 60

Published: Dec. 31, 2023

Abstract—The development of modern technology has brought progress to the agricultural sector. Previously, farming was carried out using traditional methods, resulting in lower crop production. Now world is faced with various problems, there are challenges such as climate fluctuations and increasing human population. This problem causes food needs increase drastically, so adopting Industry 4.0 sector necessary. Artificial Intelligence (AI) Internet Things (IoT) part industrial advances that can be applied agriculture. paper reviews several AI technologies used sector, Fuzzy Logic (FL), Neural Network (ANN), Machine Learning (ML), Deep (DL), Genetic Algorithm (GA), Support Vector (SVM), K-Nearest Neighbor (KNN), Decision System (DSS). The application form integration between IoT divided into categories: soil monitoring, irrigation, fertilizer spraying, pest plant disease control, harvesting, forecasting, yield monitoring. review created provide a comprehensive overview agriculture integrating IoT. makes it possible predict future manage resources more efficiently run autonomously. aims analyze explore latest developments equipment period 2019 2023. Thus, hoped this article in-depth insight advances. Keywords—Artificial (AI), (IoT), Agriculture, Integration IoT, Smart farming.

Language: Английский

Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey DOI Creative Commons
Md. Najmul Mowla, Neazmul Mowla, A. F. M. Shahen Shah

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 145813 - 145852

Published: Jan. 1, 2023

The increasing food scarcity necessitates sustainable agriculture achieved through automation to meet the growing demand. Integrating Internet of Things (IoT) and Wireless Sensor Networks (WSNs) is crucial in enhancing production across various agricultural domains, encompassing irrigation, soil moisture monitoring, fertilizer optimization control, early-stage pest crop disease management, energy conservation. application protocols such as ZigBee, WiFi, SigFox, LoRaWAN are commonly employed collect real-time data for monitoring purposes. Embracing advanced technology imperative ensure efficient annual production. Therefore, this study emphasizes a comprehensive, future-oriented approach, delving into IoT-WSNs, wireless network protocols, their applications since 2019. It thoroughly discusses overview IoT WSNs, architectures summarization protocols. Furthermore, addresses recent issues challenges related IoT-WSNs proposes mitigation strategies. provides clear recommendations future, emphasizing integration aiming contribute future development smart systems.

Language: Английский

Citations

62
Applying IoT Sensors and Big Data to Improve Precision Crop Production: A Review DOI Creative Commons
Tarek Alahmad, Miklós Neményi, Anikó Nyéki

et al.

Agronomy, Journal Year: 2023, Volume and Issue: 13(10), P. 2603 - 2603

Published: Oct. 12, 2023

The potential benefits of applying information and communication technology (ICT) in precision agriculture to enhance sustainable agricultural growth were discussed this review article. current technologies, such as the Internet Things (IoT) artificial intelligence (AI), well their applications, must be integrated into sector ensure long-term productivity. These technologies have improve global food security by reducing crop output gaps, decreasing waste, minimizing resource use inefficiencies. importance collecting analyzing big data from multiple sources, particularly situ on-the-go sensors, is also highlighted an important component achieving predictive decision making capabilities forecasting yields using advanced yield prediction models developed through machine learning. Finally, we cover replacement wired-based, complicated systems infield monitoring with wireless sensor networks (WSN), sector, emphasize necessity knowing radio frequency (RF) contributing aspects that influence signal intensity, interference, system model, bandwidth, transmission range when creating a successful Agricultural Thing Ag-IoT system. relevance protocols interfaces for presenting acquired sensors various formats emphasized paper, function 4G, 3G, 5G IoT-based smart farming. Overall, these research sheds light on significance future production

Language: Английский

Citations

55
Unleashing the potential of IoT, Artificial Intelligence, and UAVs in contemporary agriculture: A comprehensive review DOI
Mustapha El Alaoui,

Khalid El Amraoui,

Lhoussaine Masmoudi

et al.

Journal of Terramechanics, Journal Year: 2024, Volume and Issue: 115, P. 100986 - 100986

Published: May 10, 2024

Language: Английский

Citations

12
IoT-based shrewd crop field MPA system DOI
Himanshu Agarwal, Shweta Agarwal, Utkarsh K. Mishra

et al.

AIP conference proceedings, Journal Year: 2025, Volume and Issue: 3224, P. 020011 - 020011

Published: Jan. 1, 2025

Language: Английский

Citations

0
Comparative Analysis of Soil Moisture- and Weather-Based Irrigation Scheduling for Drip-Irrigated Lettuce Using Low-Cost Internet of Things Capacitive Sensors DOI Creative Commons
Ahmed A. Abdelmoneim,

Christa M. Al Kalaany,

Giovanna Dragonetti

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(5), P. 1568 - 1568

Published: March 4, 2025

Efficient irrigation management is crucial for optimizing water use and productivity in agriculture, particularly water-scarce regions. This study evaluated the effectiveness of soil-based weather-based using a low-cost (DIY) Internet Things (IoT) capacitive soil moisture sensor on drip-irrigated lettuce. A field experiment was conducted to compare efficiency between two approaches. The system utilized real-time data from IoT sensors guide scheduling, while relied evapotranspiration data. IoT-enabled used 28.8% less reduced pumping hours by 16.2% compared with conventional methods. In terms crop (CWP), reached 16 kg/m3, which 52.5% higher than method (10.5 kg/m3). Furthermore, developed DIY existing commercial sensors, namely, Teros 54 Drill& Drop. prototype demonstrated reliability accuracy comparable other an R2 = 0.6, validating its utility enhanced data-driven irrigation, giving initial low cost (USD 62). These findings highlight potential systems enhancing supporting sustainable resource-limited settings.

Language: Английский

Citations

0
ACMSPT: Automated Counting and Monitoring System for Poultry Tracking DOI Creative Commons
Edmanuel Cruz, Miguel Hidalgo-Rodriguez, Adiz Mariel Acosta-Reyes

et al.

AgriEngineering, Journal Year: 2025, Volume and Issue: 7(3), P. 86 - 86

Published: March 19, 2025

The poultry industry faces significant challenges in efficiently monitoring large populations, especially under resource constraints and limited connectivity. This paper introduces the Automated Counting Monitoring System for Poultry Tracking (ACMSPT), an innovative solution that integrates edge computing, Artificial Intelligence (AI), Internet of Things (IoT). study begins by collecting a custom dataset 1300 high-resolution images from real broiler farm environments, encompassing diverse lighting conditions, occlusions, growth stages. Each image was manually annotated used to train YOLOv10 object detection model with carefully selected hyperparameters. trained then deployed on Orange Pi 5B single-board computer equipped Neural Processing Unit (NPU), enabling on-site inference real-time tracking. performance evaluated both small- commercial-scale sheds, achieving precision 93.1% recall 93.0%, average time 200 milliseconds. results demonstrate ACMSPT can autonomously detect anomalies movement, facilitating timely interventions while reducing manual labor. Moreover, its cost-effective, low-connectivity design supports broader adoption remote or resource-limited environments. Future work will focus improving adaptability extreme conditions extending this approach other livestock management contexts.

Language: Английский

Citations

0
Sensing and geotechnologies for soil characterization DOI
Matthew Tighe, Jean Jesus Novais, José Alexandre Melo Demattê

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 203 - 231

Published: Jan. 1, 2025

Language: Английский

Citations

0
Uso de IoT para Monitoreo de la Eficiencia Hídrica en Genotipos de Soya DOI Creative Commons
S. Ortiz, Ernestina Anguiano Bello, Julio Cesar Flores Cabrera

et al.

Estudios y Perspectivas Revista Científica y Académica, Journal Year: 2025, Volume and Issue: 5(1), P. 2687 - 2703

Published: March 27, 2025

Este estudio se enfoca en el desarrollo e implementación de un sistema monitoreo basado la Internet las Cosas (IoT) para evaluar conversión agua materia seca diferentes genotipos soya. El implementado incluye sensores humedad del suelo, integrados a una red IoT sustentada por microcontroladores ESP32. Los datos obtenidos transmitieron manera inalámbrica mediante WiFi servidor broker MQTT, donde fueron almacenados base nube (Firebase). enfoque permitió realizar tiempo real y control automatizado riego uso electroválvulas. Para evaluación, estudiaron cuatro soya cultivados vivero experimental, bajo esquema automatizado. resultados indicaron que redujo consumo 25% comparación con convencional, sin ello afectara negativamente rendimiento cultivo. En cuanto seca, genotipo Albina mostró mayor eficiencia, generando aproximadamente 4.5 gramos biomasa litro consumida, mientras Ojo Tigre presentó menor 3.6 litro. Gracias plataforma IoT, fue posible detectar inmediata variaciones lo garantizar óptimo prevenir posibles déficits hídricos.

Citations

0
Soil Conservation and Information Technologies: A Literature Review DOI Creative Commons
Jô Vinícius Barrozo Chaves, Claudia Liliana Gutierrez Rosas, Camila Porfirio Albuquerque Ferraz

et al.

Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100935 - 100935

Published: April 1, 2025

Language: Английский

Citations

0
Bacillus Subtilis as an Excellent Microbial Treatment Agent for Environmental Pollution: A Review DOI

Zhuoman Wang,

Zhongyuan Li,

Chuyue Gao

et al.

Biotechnology Journal, Journal Year: 2025, Volume and Issue: 20(4)

Published: April 1, 2025

ABSTRACT The use of microorganisms in environmental biotreatment is gaining attention, particularly Bacillus subtilis (B. subtilis) , recognized for its effectiveness wastewater treatment and soil remediation. Its success stems from diverse biological activities adaptability, which improve quality ecological balance. This paper reviews the remediation capabilities mechanisms B. focusing on applications water purification pollution management. facilitates pollutant degradation adsorption through enzyme production, organic acids, unique cell wall properties, interactions with other microorganisms. article addresses current challenges future directions, emphasizing need enhanced cultivation, screening, genetic engineering functional strains. Understanding these strains studying their toxicological impacts are essential optimizing microbial remediation, providing both theoretical practical foundations bioremediation efforts.

Language: Английский

Citations

0