Deep Learning Solutions for Agricultural and Farming Activities

2021 ◽  
pp. 256-287
Author(s):  
Asha Gowda Karegowda ◽  
Devika G. ◽  
Geetha M.
Keyword(s):  
Image Processing ◽  
Deep Learning ◽  
Mortality Rate ◽  
Crop Yield ◽  
Food Supply ◽  
Automated System ◽  
Sufficient Food Supply ◽  
Smart Agriculture ◽  
Sufficient Food ◽  
Growing Population

The continuously growing population throughout globe demands an ample food supply, which is one of foremost challenge of smart agriculture. Timely and precise identification of weeds, insects, and diseases in plants are necessary for increased crop yield to satisfy demand for sufficient food supply. With fewer experts in this field, there is a need to develop an automated system for predicting yield, detection of weeds, insects, and diseases in plants. In addition to plants, livestock such as cattle, pigs, and chickens also contribute as major food. Hence, livestock demands precision methods for reducing the mortality rate of livestock by identifying diseases in livestock. Deep learning is one of the upcoming technologies that when combined with image processing promises smart agriculture to be a reality. Various applications of DL for smart agriculture are covered.

scholarly journals Population Backfire: Hindsight to Malthusian Catastrophe

2020 ◽  
Vol 8 (1) ◽  
pp. 121-126
Author(s):  
R Ramya ◽  
C C Babu ◽  
P Akshay
Keyword(s):  
Food Supply ◽  
Human Population ◽  
Future Generation ◽  
Population Pressure ◽  
Basic Tenet ◽  
Sufficient Food Supply ◽  
Per Capita ◽  
Sufficient Food ◽  
Global Population ◽  
Malthusian Trap

The basic tenet of Economics lies in the scarcity principle and unlimited nature of human wants, but allocating a definite amount of resources to satisfy the growing per capita needs in an economy is a difficult task. Things become more complicated when the population pressure generates backfire. The global population has increased to 7.8 billion, and it is essential to ensure sufficient food supply for the growing human population as well as for other species without destroying ecological balance is a serious matter to consider. An evaluation of Malthusian population theories has great importance in this context. This paper intends to analyze the Malthusian theory of population and what happens if population backfire happens and also looks into the intensity of positive checks on population along with the Malthusian trap and its effect on the present as well as the future generation.

scholarly journals CNN based Leaf Disease Identification and Remedy Recommendation System

2021 ◽  
Vol 9 (8) ◽  
pp. 953-957
Author(s):  
Mr. Yeresime Suresh
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Crop Yield ◽  
Plant Disease ◽  
Recommendation System ◽  
Plant Diseases ◽  
Human Intervention ◽  
Traditional Methods ◽  
Disease Identification ◽  
Growing Population

Abstract: In this present era, agriculture has become simply a means to feed ever growing population. It is very important where in more than 70% population depends on agriculture in India. The plant diseases effect the humans directly or indirectly by health and also economically. To detect these plant diseases we need an automatic way without much of human intervention. We attempt to analyse the disease using image processing and automate the detection by implementing machine learning methodology. Traditional methods were used to detect the diseases which lead to the use of large amount of pesticides harming the fertile soil and also the nature. A solution to this is to use current methodologies like Image Processing and Machine Learning that helps the farmers to detect the diseases faster and increase the crop yield. Keywords: Plant Disease, Remedy, Image Processing

scholarly journals COVID-19 and Food Supply in Bangladesh: A Review

2021 ◽  
pp. 15-23
Author(s):  
Abdullah Al Zabir ◽  
Asif Mahmud ◽  
Md. Ariful Islam ◽  
Sabyasachi Chanda Antor ◽  
Farhana Yasmin ◽  
...  
Keyword(s):  
At Risk ◽  
Food Supply ◽  
Human Activities ◽  
Agriculture Sector ◽  
Sufficient Food Supply ◽  
Policy Measures ◽  
Economic Shock ◽  
The Government ◽  
Sufficient Food ◽  
Mechanized Agriculture

The pandemic COVID-19 has slowed down human activities globally and throwing countries into a slump and possibly economic depression. Bangladesh, a growing economic country, is also experiencing severe economic shockwaves. Besides the economic shock, it is also facing an imbalance in the food supply in all of its channels. The purpose of this paper is to provide a general understanding of the possible impacts of COVID-19 on food supply in Bangladesh. The paper presents a brief summary of the global COVID-19 situation and the current food supply status concerning COVID-19. In Bangladesh, the trend of COVID-19 cases is increasing and due to the lockdown situation, the food supply is hampering badly. Since most farmers are not adapted to mechanized agriculture and facing labour shortages, their production has fallen at risk in terms of harvesting. Due to buyer shortage and unavailability of supply channels, products are being forced to sell at a low price and it will take years to overcome this shock as the prognosis of COVID-19 is still unknown to all. Though the government has taken some policy measures to maintain a sufficient food supply, protect the agriculture sector, and mitigate the possible losses.

Deep Learning-Based Image Processing for Whitecaps on the Ocean Surface

2020 ◽  
Vol 76 (2) ◽  
pp. I_163-I_168
Author(s):  
Yukun WANG ◽  
Yuji SUGIHARA ◽  
Xianting ZHAO ◽  
Haruki NAKASHIMA ◽  
Osama ELJAMAL
Keyword(s):  
Image Processing ◽  
Deep Learning ◽  
Ocean Surface

Digital Image Processing for Detecting and Classifying Plant Diseases

2017 ◽  
Vol 2 (11) ◽  
pp. 1-7
Author(s):  
Izay A. ◽  
Onyejegbu L. N.
Keyword(s):  
Image Processing ◽  
Fuzzy Logic ◽  
Programming Language ◽  
Design Methodology ◽  
Fuzzy Logic Controller ◽  
Object Oriented ◽  
Plant Diseases ◽  
Analysis And Design ◽  
Crop Diseases ◽  
Growing Population

Agriculture is the backbone of human sustenance in this world. With growing population, there is need for increased productivity in agriculture to be able to meet the demands. Diseases can occur on any part of a plant, but in this paper only the symptoms in the fruits of a plant is considered using segmentation algorithm and edge/ sizing detectors. We also looked at image processing using fuzzy logic controller. The system was designed using object oriented analysis and design methodology. It was implemented using MySQL for the database, and PHP programming language. This system will be of great benefit to farmers and will encourage them in investing their resources since crop diseases can be detected and eliminated early.

scholarly journals Convolutional Neural Network for the Semantic Segmentation of Remote Sensing Images

2021 ◽  
Vol 26 (1) ◽  
pp. 200-215
Author(s):  
Muhammad Alam ◽  
Jian-Feng Wang ◽  
Cong Guangpei ◽  
LV Yunrong ◽  
Yuanfang Chen
Keyword(s):  
Neural Network ◽  
Remote Sensing ◽  
Neural Networks ◽  
Image Processing ◽  
Deep Learning ◽  
Semantic Segmentation ◽  
Natural Scene ◽  
Remote Sensing Images ◽  
Advantages And Disadvantages ◽  
Target Segmentation

AbstractIn recent years, the success of deep learning in natural scene image processing boosted its application in the analysis of remote sensing images. In this paper, we applied Convolutional Neural Networks (CNN) on the semantic segmentation of remote sensing images. We improve the Encoder- Decoder CNN structure SegNet with index pooling and U-net to make them suitable for multi-targets semantic segmentation of remote sensing images. The results show that these two models have their own advantages and disadvantages on the segmentation of different objects. In addition, we propose an integrated algorithm that integrates these two models. Experimental results show that the presented integrated algorithm can exploite the advantages of both the models for multi-target segmentation and achieve a better segmentation compared to these two models.

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