The Detection System for Greenhouse Tomato Disease Degree Based on Android Platform

Tian, Youwen; Zheng, Peng-Hui; Shi, Rui-Yao

doi:10.1109/icisce.2016.156

Cited by 13 publications

(2 citation statements)

References 5 publications

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“…The paper [2] describes about the parameters like color, texture and morphological are important to classify the diseases in plants with the help of image processing techniques. In the research work [3] the author describes the detection system used for terrace gardening system or greenhouse disease detection system and it mainly used for tomato gardening system with the help of android platform.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The proposed model aims to develop a recommendation system based on the observations. The system obtain better precision and provide a complete [3] and integrated decision support for the users that focus on crop protection and provide the users with balanced nutrient management strategies, for that purpose several observations are recorded and measured . Figure.1.…”

Section: Proposed Frameworkmentioning

confidence: 99%

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Recommender System for Nutrient Management Based on Precision Agriculture

Yogeswari,

Padmapriya

2019

IJRTE

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Agriculture is the heart of our nation and society. It is influenced by several factors and parameters such as uneven monsoon, changing climate as well as weather circumstances, rainfall and nutrient facts during the harvest. Agriculture is primarily crucial and also the main source of our livelihood. But, owed to the scarceness of nutrients in plants, the human is strained to handle many dare in everyday life. The restoration of the nutrient is essential, in this view there is need to adopt precision agriculture system which change crop related plans and regulations, whereas nutrient management is a major domain that is needed to be spotlight in the field of farming techniques. The main aim of this research is to create an idea of developing a precision based recommender system for nutrient management and the main scope of this paper to describe the initial phase of the research. The experimental study of this research work is conducted using a terrace garden. The nutrient management with respect to the horticulture crop tomato is considered as the objective. The samples are grouped as two sets namely A and B representing samples without using natural fertilizers/manures and with natural fertilizers/manures. The growth parameters are analyzed and the results are presented. The data collection phase using sensors and Arduino kit is described here. The impact of pests and the remedy taken during the period of growth is recorded. The advices from the experts given in the soil tests are considered for preparing this nutrient management system.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Proposed Frameworkmentioning

confidence: 99%