e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

Call for Papers 2020

Apr 2021 - Volume 12, Issue 2
Deadline: 15 Mar 2021
Publication: 20 Apr 2021

Jun 2021 - Volume 12, Issue 3
Deadline: 15 May 2021
Publication: 20 Jun 2021

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ABSTRACT

Title : APPLICABILITY OF DEEP LEARNING TECHNIQUES FOR CROP PROTECTION IN PLANTAIN TREE CULTIVATION
Authors : M. Nandhini, M. Thangadarshini, Kala K. U., S. MadhusudhanaVerma
Keywords : Agriculture, Big Data Analytics, Convolutional Neural Network, Crop Protection, Deep Learning,Plantain Tree Cultivation
Issue Date : Jan-Feb 2021
Abstract :
In India, Banana is the second most important fruit crop next to mango. Its year-round availability, affordability, varietal range, taste, nutritive and medicinal value makes it the favorite fruit among all classes of people. Cultivating healthy banana is facing significant challenges on profit margin. Deci-sion making in Plantain tree cultivation need special attention for protecting their crops and thus making their cultivation more fruitful. The nutrients, water and sunlight are stolen by the weeds from the crops. Also, the impact of various diseases and insects on banana production are devastating. In order to protect their banana crops, multiple decision making per day have to be taken by the farm-ers. Crop Protection, detection and prediction techniques deal with the practices of farmers used to defend their crops against weeds, insects and diseases. Agricultural Data obtained from heterogene-ous sources show the Big Data characteristics such as high volume, high velocity, and high veracity. Various Deep Learning techniques are found to be suitable for analyzing these data and attain the information regarding the existence of weeds, the severity of diseases and the infections caused by pests at its early stage. It helps to recommend the precautionary measures for all these issues.This review helps the researchers to get a comprehensive idea of the currently used DL techniques for crop protection, which will help them for finding most accurate DL technique for their crops.
Page(s) : 1-9
ISSN : 0976-5166
Source : Vol. 12, No.1
PDF : Download
DOI : 10.21817/indjcse/2021/v12i1/211201401