Deep Neural Networks Based Disease Detection in Family of Cashew Plants by Leaf Image Classification

Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 6

Abstract

Recognizable proof of the plant maladies is the way to keeping the misfortunes in the yield and amount of the horticultural item. The investigations of the plant maladies mean the investigations of outwardly perceptible examples seen on the plant. Wellbeing observing and sickness recognition on plant is exceptionally basic for maintainable farming. It is exceptionally hard to screen the plant illnesses physically. It requires enormous measure of work, aptitude in the plant illnesses, and furthermore requires the over the top preparing time. This venture is worried about another way to deal with the improvement of plant malady acknowledgment demonstrate, in light of leaf picture grouping, by the utilization of a non-parametric strategy named as k-closest neighbors calculation (k-NN) for order. The division procedure depends on the distinctive highlights found in the picture. The division of the picture is performed utilizing Fuzzy C-Means calculation. The created demonstrate can perceive three distinct sorts of plant sicknesses out of solid leaves, with the capacity to recognize plant leaves from their environment.

Authors and Affiliations

Pravallika Rudraraju, Y. Vineela Sravya

Keywords

Related Articles

Heterogeneous Photocatalytic Degradation of Azure-A Dye By Highly Efficient Zno-Nano Photocatalyst In Presence Of Different Operational Parameters

Nowadays, environmental pollution is a critical problem of the world. In this paper, we report the successful synthesis of ZnO Nano photo catalyst by the precipitation method and their effective use as a photocatalyst fo...

Improved Reliability Analysis of Electricity Power Supply to Port Harcourt Distribution Network

This paper presents an analysis of reliability assessment for some area of electrical energy distribution system in Port Harcourt using analytical approach being supported by Electrical transient analyzer tool (ETAP) in...

Electrical Conductivity Measurements On Undoped And ADP Doped Disodium Hydrogen Phosphate (DSHP) Single Crystals

Electrical conductivity is an elegant experimental tool to probe the structural defects and internal purity of crystalline solids. In the present study we have grown undoped and ADP doped DSHP single crystals by the slow...

Investigation of Heat Transfer Coefficient in ‘Square Shaped Pin-Fin’.

Pin-fin is one of the most convenient ways of heat transfer. Square shaped pin fin is a non-exposed analysis. In this paper we have done analysis of square shaped pin fin with and without hole. We used aluminium and stai...

Experimental investigation on the effect of UWSinjectionon NOx reduction efficiency of urea-SCR system for marine diesel engine

Oxides of nitrogen (NOx) emitted from operating marine diesel vessels which negatively affect human health and environment are considered a global pollution problem. They areregarded a major reason for photochemical smog...

Download PDF file
  • EP ID EP397370
  • DOI -
  • Views 62
  • Downloads 0

How To Cite

Pravallika Rudraraju, Y. Vineela Sravya (2018). Deep Neural Networks Based Disease Detection in Family of Cashew Plants by Leaf Image Classification. International Journal of Engineering and Science Invention, 7(6), 60-65. https://europub.co.uk/articles/-A-397370