9786203040159 - Image Processing in Plant Monitoring and Pest Control in Agriculture de P, Devabalan; Tv, Janardhana RAO; Jena, Gunamani (8 resultados)

Condición: New.

Taschenbuch. Condición: Neu. Image Processing in Plant Monitoring and Pest Control in Agriculture | Devabalan P (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786203040159 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Agriculture is the main component of the Indian economy. Preparation of soil, sowing, pest control, adding manure and fertilizers, irrigation, and harvesting are major processes involved in agriculture practices. Pest control is the most challenging task faced by farmers. Hence the system which being utilized the modern image processing technique is proposed to identify the infectious plant's diseases and the same is reported in this monograph. In this work, a recognition system is developed which capable of identifying the type of diseases affected by plants using images of their leaves. This is done by comparing the captured image of leaves with an image of healthy leaves. The recognition system runs the pre-processing and feature extraction techniques to identify diseases caused by pests. Here, a canny algorithm is used to identify and analyze diseases in plants since it is effective than others. In this work, the banana tree and paddy are considered for the analysis, and results are presented. It is the evidence that the canny algorithm gives an exact disease identification with vital accuracy and hence proposed system improves the cultivation rate. 60 pp. Englisch.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: P DevabalanDr. P DEVABALAN, Professor in CSE Dept., BVC Engineering College (Autonomous), Andhrapradesh, India, having 16 years of experience in teaching. He qualified with B.E (IT), M.E (Network Engineering) & Ph.D. (CSE). He has pu.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Agriculture is the main component of the Indian economy. Preparation of soil, sowing, pest control, adding manure and fertilizers, irrigation, and harvesting are major processes involved in agriculture practices. Pest control is the most challenging task faced by farmers. Hence the system which being utilized the modern image processing technique is proposed to identify the infectious plant's diseases and the same is reported in this monograph. In this work, a recognition system is developed which capable of identifying the type of diseases affected by plants using images of their leaves. This is done by comparing the captured image of leaves with an image of healthy leaves. The recognition system runs the pre-processing and feature extraction techniques to identify diseases caused by pests. Here, a canny algorithm is used to identify and analyze diseases in plants since it is effective than others. In this work, the banana tree and paddy are considered for the analysis, and results are presented. It is the evidence that the canny algorithm gives an exact disease identification with vital accuracy and hence proposed system improves the cultivation rate.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Agriculture is the main component of the Indian economy. Preparation of soil, sowing, pest control, adding manure and fertilizers, irrigation, and harvesting are major processes involved in agriculture practices. Pest control is the most challenging task faced by farmers. Hence the system which being utilized the modern image processing technique is proposed to identify the infectious plant's diseases and the same is reported in this monograph. In this work, a recognition system is developed which capable of identifying the type of diseases affected by plants using images of their leaves. This is done by comparing the captured image of leaves with an image of healthy leaves. The recognition system runs the pre-processing and feature extraction techniques to identify diseases caused by pests. Here, a canny algorithm is used to identify and analyze diseases in plants since it is effective than others. In this work, the banana tree and paddy are considered for the analysis, and results are presented. It is the evidence that the canny algorithm gives an exact disease identification with vital accuracy and hence proposed system improves the cultivation rate.