Crops diseases detection and solution system

Alam, Mohammad Jahangir; Awal, Md. Abdul; Mustafa, Md. Nurul

doi:10.11591/ijece.v9i3.pp2112-2120

Cited by 4 publications

(3 citation statements)

References 1 publication

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“…The system's integration with a GSM module enables the driver's emergency contacts to be notified in case of an emergency, thus improving their chances of getting timely help. This system's contribution to road safety is crucial, and it has the potential to save lives by preventing accidents caused by driver fatigue, making it an essential technological innovation in the field of transportation [11].…”

Section: Introductionmentioning

confidence: 99%

An Automatic Driver’s Drowsiness Alert System

Rokade

2023

IJRASET

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The Automatic Driver's Drowsiness Alert System (ADDAS) using a PIC microcontroller is a technological solution that aims to prevent accidents caused by drowsy driving. This system uses a combination of sensors and algorithms to detect the driver's level of alertness and sends a warning when the driver is experiencing drowsiness or fatigue. The system is based on a PIC microcontroller that processes the data obtained from the sensors, which include an eyeblink sensor, a temperature sensor, a Heartbeat sensor, GSM (Global System for Mobile Communication) module and GPS (Global Positioning System). The eyeblink sensor monitors the driver's eye movements, the temperature sensor measures the driver's temperature, heartbeat sensor measures the pulse rate of driver, alcohol sensor measures alcohol intake of driver. The data is processed using an algorithm that analyses the driver's behaviour and physiological parameters to determine the level of alertness. If the driver is found to be drowsy or fatigued, the system sends a warning to alert the driver, such as an audible alarm. This system is efficient, reliable, and cost-effective, making it an ideal solution for preventing accidents caused by drowsy driving. It promotes safer roads and reduces the risk of fatalities, making it an essential tool for enhancing driver safety

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Section: Introductionmentioning

confidence: 99%

An Automatic Driver’s Drowsiness Alert System

Rokade

2023

IJRASET

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“…With total plantation areas of 686,050 hectares, paddy is the most planted crop in Malaysia. Nevertheless, its production is low (Hassan et al, 2017), likely due to the limited amount of fertiliser used (Fatah et al, 2017), excessive pesticide usage (Fatah et al, 2017), climate change (Alam et al, 2019), ineffective irrigation system (Ibrahim & Alam, 2016), Inappropriate technology practice (Hassan et al, 2019), poor farm management (Norasma et al, 2019), unsatisfactory soil conditions (Yusof et al, 2019), disease and pest outbreaks (Yusof et al, 2019) and the output of farmers (Yusof et al, 2019;Alam et al, 2019). Such circumstances cause Malaysia's rice sector to be at a critical point.…”

Section: Introductionmentioning

confidence: 99%

Smartphone Application Development for Rice Field Management Through Aerial Imagery and Normalised Difference Vegetation Index (NDVI) Analysis

Roslin¹,

Che’Ya²,

Rosle³

et al. 2021

JST

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In the current practices, farmers typically rely on the traditional method paper-based for farming data records, which leads to human error. However, the paper-based system can be improved by the mobile app technology to ease the farmers acquiring farm data as all of the farm information will be stored in digital form. This study aimed to develop a smartphone agricultural management app known as Padi2U and implement User Acceptance Test (UAT) for end-users. Padi2U was developed using Master App Builder software and integration with the multispectral imagery. Padi2U provides recommendations based on the Department of Agriculture’s (DOA), such as rice check, pest and disease control, and weed management. Through the Padi2U, farmers can access the field data to understand the crop health status online using the Normalised Difference Vegetation Index (NDVI) map derived from the multispectral images. The NDVI is correlated to the Soil Plant Analysis Development (SPAD) value, corresponding to R² = 0.4012. UAT results showed a 100 percent satisfaction score with suggestions were given to enhance the Padi2U performance. It shows that Padi2U can be improved to help farmers in the field monitoring virtually by integrating multispectral imagery and information from the field.

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“…The aim is to obtain a rational use of fertilizers and water resources according to the real crops' nutritional needs and consequently an environmental impact reduction; to achieve this purpose, fertigation scheduling is planned based on crops interest parameters, detected by developed solar-powered WSN, and on weather forecast. An advantage of such approach regards its easy scalability, so improving performances of an existing WSN-based application; for instance, additional sensor nodes can be easily added to existing architecture for monitoring more crops' or land parameters as well as spread of pests or diseases [7,8]. Moreover, an IoT-based communication system has been employed in order to periodically transfer WSN data on cloud to be stored, whereas a smart-phone app is available to user for visualizing and controlling WSN operation, getting crops growth parameters, for consulting the agronomic models or database and finally for driving locally the fertigator op eration [8,9].…”

Section: Introductionmentioning

confidence: 99%

IoT-oriented software platform applied to sensors-based farming facility with smartphone farmer app

et al. 2020

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This work describes the design of innovative IoT-oriented farm management system that employs low-cost WSN for detecting soil, environmental and crops parameters that properly processed, in combination with weather forecasts, are used to determine future farming activities based on agronomic models implemented in the software platform. Goals of carried out research activity are to guarantee production both qualitatively and quantitatively of cultivated crops, to increase company income and reduce environmental impacts; achieving these objectives is a prerequisite for implementing of sustainable agriculture. Connection between traditional cropping systems and innovative technologies is achieved through the utilization of low-cost wireless electronic modules for acquiring data from connected sensors. The fertigation system operation is supported by solar-powered low-cost WSN capable of constantly monitoring soil and environmental parameters; thanks to sensor nodes properly positioned in cultivated land or greenhouse, interest parameters of both air and soil are detected and transmitted to on-cloud database, to allow monitoring and remote control from enabled users (farmer or agronomist). For this aim, an application specifically realized and tested during the different fertigation system’s functional tests, allows users to visualize and eventually remotely intervene by using a smart-phone or tablet.

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Crops diseases detection and solution system

Cited by 4 publications

References 1 publication

An Automatic Driver’s Drowsiness Alert System

An Automatic Driver’s Drowsiness Alert System

Smartphone Application Development for Rice Field Management Through Aerial Imagery and Normalised Difference Vegetation Index (NDVI) Analysis

IoT-oriented software platform applied to sensors-based farming facility with smartphone farmer app

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