Automatic soil nutrient detection and fertilizer dispensary system

A, Amrutha; Lekha, R; Adikay, Sreedevi

doi:10.1109/rctfc.2016.7893418

Cited by 30 publications

(6 citation statements)

References 4 publications

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“…Based on the real time values obtained they are analysed and particular crop pattern is been suggested which suits the soil. [4] This paper major intention is to restore macronutrients present in the soil by measurement of nutrients present. The presence of nutrients is obtained by using sensors.…”

Section: Literature Surveymentioning

confidence: 99%

Modern Agriculture using Wireless Sensor Network

2020

IJRTE

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Indian economy majorly depends on the agriculture sector hence it is known as the backbone of India. Here agriculture segment accounts for 18% of India’s GDP and is providing employment to 50% of the country workforce. The main aim of this work is to reduce the manual monitoring of soil testing and plant irrigation and help farmers in increasing the agricultural production. The testing of soil is done through various sensors and based on the data received the farmers can cultivate the appropriate crop that is suitable for soil. Detection of plant’s diseases is done through image processing technique. And also includes pest detection and control by using Acoustic sensor and we make use of Ultrasonic sound emitter to keep the pests away from destroying the crops. It alerts farmers through a message. All the information is sent to IBM Bluemix Cloud by ZigBee protocol. A direct communication link is set up between farmers and the consumers without the involvement of any middleman via mobile app.

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Section: Literature Surveymentioning

confidence: 99%

Modern Agriculture using Wireless Sensor Network

2020

IJRTE

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“…Amrutha A et al [5] proposed system to determine the available NPK nutrients in the soil and estimated the fertilizers to be added. Their system automates the process of addition of fertilizers and thereby reducing the time and manual labor required.…”

Section: Related Workmentioning

confidence: 99%

Data Analytics System for Irrigation Alert, Fertilizer and Pesticide Recommendation towards Sustainable Agriculture

2019

IJRTE

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Ministry of statistics and program implementation says that, the agriculture sector’s contribution to the Gross Domestic Product (GDP) decreased gradually from 54% in 1950- 51 to 15.4% in 2015-16. Farmers are suffering because of nonavailability of information and no proper guidance (advisory services). Farmers in rural areas are detached from technology and essential agricultural support services needed to carry out in farming activities and their productivity per acre is low due to lack of adopting recent mechanisms and technology usage. This paper presents a Data Analytics System for Irrigation Alert, Fertilizer and Pesticide Recommendation. The system is developed using modern digital technologies by bringing the necessary supporting elements in one place and to deliver necessary insights to farmers throughout crop cultivation to improve the farming actives. The proposed system includes 2 modules a) External Intelligence Module b) Data Analytics Module. In first module, data is gathered from farmer’s dataset, irrigation partners, pesticide vendors, fertilizer dataset. The second module will work on the grounds of output being “yes” of EIS, will generate alert regarding Irrigation, pesticides and Fertilizer Recommendation. The proposed system offers personalized advisory services using communication devices to maximize the crop yield and to minimize the cost of production.

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“…In [9], soil fertility is an important factor to measure the quality of soil. Excessive use of fertilizer can lead to soil destruction.…”

Section: Automatic Soil Nutrient Detection and Fertilizer Dispensary mentioning

confidence: 99%

Survey on Smart Irrigation System for Mapping of Soil Moisture using Data Mining and IoT

Fatma¹,

Iyer²,

Pawase³

et al. 2018

IJCA

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The Internet of Things (IoT) is a network of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. Farming needs sustained irrigation that itself consumes the highest percentage of water resource in any area. To solve this problem smart irrigation systems are powered by latest IoT technology that can help in conservation of water resources by monitoring irrigation through remote sensing technologies. This system is an attempt towards the smart irrigation system concept. An electronic device is responsible for sensing the moisture conditions of the soil. Along with it, a bluetooth functionality is added to the hardware device. The sensed environmental conditions are taken and sent to the server, which has a MySQL database for storage of records. As the user logs into his smartphone, history of values of soil moisture which were previously sensed and sent to the database are available to be viewed by the user. Another functionality of the system is that various nodes are available which indicate the severity of the conditions in the environment using the database records and indicate the user to take actions accordingly. Also the user is able to see the crop suggestions given to him. Thus by using this concept, the irrigation sector can gain various benefits to avoid calamity.

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Automatic soil nutrient detection and fertilizer dispensary system

Cited by 30 publications

References 4 publications

Modern Agriculture using Wireless Sensor Network

Modern Agriculture using Wireless Sensor Network

Data Analytics System for Irrigation Alert, Fertilizer and Pesticide Recommendation towards Sustainable Agriculture

Survey on Smart Irrigation System for Mapping of Soil Moisture using Data Mining and IoT

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