Proceedings ArticleDOI
Disease detection in crops using remote sensing images
Leninisha Shanmugam,A. L. Agasta Adline,N Aishwarya,G Krithika +3 more
- pp 112-115
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TLDR
An automated diseases detection using remote sensing images to early detection the disease as soon as it starts spreading on the top layer of the leaves using remote sensed images to intimate the agriculturists with an early alert message immediately.Abstract:
This paper describes an automated diseases detection using remote sensing images. Agriculturists are facing loss due to various crop diseases. It becomes tedious to the cultivators to monitor the crops regularly when the cultivated area is huge (in acres). The most significant part of our research is early detection the disease as soon as it starts spreading on the top layer of the leaves using remote sensing images. This approach has two phases: first phase deals with training of healthy and as well as diseased datasets i.e.) the extraction of threshold values from the image, second phase deals with monitoring of crops and identification of particular disease using canny edge detection algorithm and histogram analysis and also intimate the agriculturists with an early alert message immediately.read more
Citations
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Journal ArticleDOI
An Object-Based Image Analysis Approach to Assess Persistence of Perennial Ryegrass (Lolium perenne L.) in Pasture Breeding
Chinthaka Jayasinghe,Pieter Badenhorst,Junping Wang,Joe L. Jacobs,German Spangenberg,Kevin F. Smith +5 more
TL;DR: It is concluded that object-based ground cover estimation is most suitable for use in large-scale breeding programs due to its higher accuracy, efficiency and repeatability.
Proceedings ArticleDOI
Review of Dieases Detection and Classification for Chilli Leaf using Various Algorithams
Asha Patil,Kalpesh Lad +1 more
TL;DR: This system will guarantee that chemical only applied when plant tainted with disease is applied, which is extremely helpful and cheap for assessment of diseases of plant for assisting the farmers.
Journal ArticleDOI
Analysis of Satellite Images Utilisation for Oil Palm Plantation Monitoring
Hoe Jia Hong,S.A.A. Shukor +1 more
Journal ArticleDOI
Easy Agriculture: Crops’ disease detection, pesticide, fertilizer and crop recommendations
TL;DR: In this article , a 9 layer resnet deep learning algorithm was used to detect the disease and also recommend the suitable pesticides for the persisting disease and a custom dataset was also built consisting of disease-description-measures to be taken-pesticide or fertilizer to be used.
Book ChapterDOI
Detecting and Classifying Various Diseases in Plants
Rashmi Deshpande,Hemant Patidar +1 more
TL;DR: In this article, the authors proposed an overall solution in which all the problems related to farming which are faced by farmer. In the proposed system, it will identify the leaf disease harming crop and providing solution along with precautions to be taken.
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