Weed Identification in Crop Field Using CNN

2021 ◽  
Vol 23 (10) ◽  
pp. 15-21
Author(s):  
Saniya Zahoor ◽  
◽  
Shabir A.Sofi ◽  
Keyword(s):  
Developing Countries ◽  
Classification Model ◽  
World Food ◽  
Proposed Model ◽  
Crop Field ◽  
The World

Since the ages agriculture has remained as the backbone of economies especially developing countries like ours, where population is growing rapidly being second most populated country in the world, food demands are increasing so, farmers need to maximize their productivity. Weed is one of the enemies to farmer’s crop which competes with the crop for nutrients and sometimes hinders the growth of crop. Weed can cause loss of production ranging from 10 to 100%. There has been research on the use of many CNN models for weed identification. This paper presents a classification model to distinguish between weed and crop images and it classifies 12 species of weeds and crops. The proposed model achieves 96.45% of accuracy during training and of 90.08% during validation and testing.

Forward planning: meeting the requirements. The world food and agricultural situation

1973 ◽  
Vol 267 (882) ◽  
pp. 5-12 ◽  
Keyword(s):  
Developing Countries ◽  
Developed Countries ◽  
Technological Problem ◽  
Trade Policies ◽  
World Food ◽  
Planning Meeting ◽  
The World ◽  
The 1960S ◽  
The Developed Countries ◽  
Obvious Feature

The world food and agricultural situation in the 1980s must be looked at, as now, in terms of the division between developed and developing countries. While there will still be problems in the developed countries - such as surpluses - the great crisis will remain in the developing countries. The most obvious feature of the crisis is the balance between the increase in population and the increase in food production. In the 1960s, the balance was extremely precarious and, in the first two years of the 1970s, population actually grew faster than production. Hence, it is imperative to accelerate the increase in production in the developing countries. In order to achieve this, it is important to see to what extent the obstacles are due to lack of knowledge on how to obtain more from natural resources - primarily a technological problem - and to what extent they are due to the weaknesses of human institutions and of the political will for change. In addition, the prospects for a more rational and hopeful world food and agricultural situation in the 1980s will depend very largely on how the national agricultural production and trade policies of both developed and developing countries can be modified by practical steps towards international agricultural adjustment for the benefit of all.

scholarly journals COVID-19 Outbreak in Post-Soviet States: Modeling the Best and Worst Possible Scenarios

2020 ◽  
Author(s):  
Alpamys Issanov ◽  
Yerlan Amanbek ◽  
Anara Abbay ◽  
Shalkar Adambekov ◽  
Mohamad Aljofan ◽  
...  
Keyword(s):  
Developing Countries ◽  
Healthcare Professionals ◽  
Healthcare Systems ◽  
Current Development ◽  
Case Scenario ◽  
Proposed Model ◽  
The World ◽  
Governmental Response ◽  
Determining Factor

ABSTRACTBackgroundCOVID-19 pandemic has presented extreme challenges to developing countries across the world. Post-Soviet states are facing unique challenges due to their developing healthcare systems and unstable economy. The aim of this paper was to provide estimates for current development COVID-19 pandemic in the Post-Soviet states and forecast potential best and worst scenarios for spread of this deadly infection.MethodsThe data on confirmed cases and deaths were extracted from official governmental sources for a period from beginning of outbreak dates for each country until April 18, 2020. A modified SEIR (Susceptible-Exposed-Infected-Recovered) modelling was used to plot the parameters of epidemic in 10 post-Soviet states and forecast the number of cases over a period of 10, 30 and 60 days. We also estimated the numbers of cases based on the optimal measures (best scenario) and suboptimal measures (worst scenarios) of potential spread of COVID-19 in these countries.ResultsIt was estimated that Armenia and Azerbaijan have reached their peaks, Kazakhstan, Kyrgyzstan, Moldova and Uzbekistan are expected to reach their peaks in the coming week (April 29 – May 7, 2020), with comparatively low cases of COVID-19 and loss of lives in the best-case scenario. In contrast, Belarus, Russia, and Ukraine would likely see the outbreaks with the largest number of COVID-19 cases amongst the studied Post-Soviet States in the worst scenario during the next 30 and 60 days. Geographical remoteness and small number of international travelers from the countries heavily affected by the pandemic could also have contributed to delay in the spread of COVID-19.ConclusionGovernmental response was shown to be as an important determining factor responsible for the development of COVID-19 epidemic in Post-Soviet states. The current protection rates should be maintained to reduce active cases during upcoming 30 and 60 days. The estimated possible scenarios based on the proposed model can potentially be used by healthcare professionals from each studied Post-Soviet States as well as others to improve plans to contain the current and future epidemic.

scholarly journals Feature-Based Sentimental Analysis on Public Attention Towards COVID-19 Using CUDA-SADBM Classification Model

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 80
Author(s):  
Siva Kumar Pathuri ◽  
N. Anbazhagan ◽  
Gyanendra Prasad Joshi ◽  
Jinsang You
Keyword(s):  
The Other ◽  
Classification Model ◽  
Public Attention ◽  
Primary Motivation ◽  
Online Social Media ◽  
Proposed Model ◽  
The World ◽  
Feature Based ◽  
Almost All ◽  
Day By Day

The COVID-19 pandemic has spread to almost all countries of the World and affected people both mentally and economically. The primary motivation of this research is to construct a model that takes reviews or evaluations from several people who are affected with COVID-19. As the number of cases has accelerated day by day, people are becoming panicked and concerned about their health. A good model may be helpful to provide accurate statistics in interpreting the actual records about the pandemic. In the proposed work, for sentimental analysis, a unique classifier named the Sentimental DataBase Miner algorithm (SADBM) is used to categorize the opinions and parallel processing, and is applied on the data collected from various online social media websites like Twitter, Facebook, and Linkedin. The accuracy of the proposed model is validated with trained data and compared with basic classifiers, such as logistic regression and decision tree . The proposed algorithm is executed on CPU as well as GPU and calculated the acceleration ratio of the model. The results show that the proposed model provides the best accuracy compared with the other two models, i.e., 96% (GPU).

scholarly journals General characteristics of food in developing regions–a situational diagnostic assessment

2006 ◽  
Vol 96 (S1) ◽  
pp. S12-S16 ◽  
Author(s):  
Abelardo Avila-Curiel
Keyword(s):  
Developing Countries ◽  
Food Production ◽  
Diagnostic Assessment ◽  
World Food ◽  
Developing Regions ◽  
Food And Agriculture ◽  
Food And Agriculture Organization ◽  
The World ◽  
Technical Solutions ◽  
Constant Growth

Since the founding of the Food and Agriculture Organization of the United Nations in 1946, it has reported on the serious problem of hunger in the world and has undertaken various initiatives for eradicating this problem; however, they have ended in failure. The number of people suffering from hunger has increased from 500 to 800 million in a period of six decades, despite constant growth in world food production, which has been more than sufficient to cover the needs of all of humanity since the 1970s. This paper analyses FAO initiatives in the framework of the evolution of the nutritional situation in developing countries and identifies national and regional contexts in which technical solutions may be successful, as well as those requiring the implementation of economic, political and social measures.

An Approach to Solving World Food Problems

1975 ◽  
Vol 38 (7) ◽  
pp. 423-427
Author(s):  
W. F. WEDIN
Keyword(s):  
United States ◽  
Developing Countries ◽  
Problem Solving ◽  
The United States ◽  
World Food ◽  
State University ◽  
Iowa State University ◽  
The People ◽  
Long Run ◽  
The World

Approaches to solving food problems have often been too specific, both here at home and abroad. In developing countries, chronic food problems have often been attacked with a technology, the adoption-diffusion of which, if nonappropriate to mores and customs of the people, has in the long-run been counter-productive. Through the World Food Institute at Iowa State University, we propose to identify problems, analyze them, bring competencies to bear on solving them, provide a continuing feed-in of educated, competent people geared to a problem-solving, interdisciplinary attack, and study the interrelationships to Iowa and the United States. We propose a continuing thrust from our University utilizing pertinent components of the land-grant mission which permitted problems to be solved in Iowa. Through this outward thrust in the broader, international scale, we hope to improve the nutrition and hope for hunger avoidance of humans elsewhere, and simultaneously thereby to increase our own understanding. We look to the peaceful interchange of food-related knowledge which, in the ultimate, knows neither borders nor political leanings.

Searching for new Sources of growth. Are the Developing Countries Catching up with the Developed ones?

2015 ◽  
pp. 30-53
Author(s):  
V. Popov
Keyword(s):  
Developing Countries ◽  
Western Europe ◽  
Gdp Per Capita ◽  
The West ◽  
Catching Up ◽  
The Us ◽  
The World ◽  
Economic Divergence ◽  
Per Capita ◽  
Relative Standing

This paper examines the trajectory of growth in the Global South. Before the 1500s all countries were roughly at the same level of development, but from the 1500s Western countries started to grow faster than the rest of the world and PPP GDP per capita by 1950 in the US, the richest Western nation, was nearly 5 times higher than the world average and 2 times higher than in Western Europe. Since 1950 this ratio stabilized - not only Western Europe and Japan improved their relative standing in per capita income versus the US, but also East Asia, South Asia and some developing countries in other regions started to bridge the gap with the West. After nearly half of the millennium of growing economic divergence, the world seems to have entered the era of convergence. The factors behind these trends are analyzed; implications for the future and possible scenarios are considered.

On retroeconomy

2017 ◽  
pp. 148-159
Author(s):  
V. Papava
Keyword(s):  
Developing Countries ◽  
Detrimental Effect ◽  
International Competition ◽  
The World ◽  
The Government ◽  
Role Of The Government

This paper analyzes the problem of technological backwardness of economy. In many mostly developing countries their economies use obsolete technologies. This can create the illusion that this or that business is prosperous. At the level of international competition, however, it is obvious that these types of firms do not have any chance for success. Retroeconomics as a theory of technological backwardness and its detrimental effect upon a country’s economy is considered in the paper. The role of the government is very important for overcoming the effects of retroeconomy. The phenomenon of retroeconomy is already quite deep-rooted throughout the world and it is essential to consolidate the attention of economists and politicians on this threat.

Feature extraction and prediction of Dengue Outbreaks

2020 ◽  
pp. 216-222
Author(s):  
Kunal Parikh ◽  
Tanvi Makadia ◽  
Harshil Patel
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Developing Countries ◽  
Feature Extraction ◽  
Predictive Analytics ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Health Concerns ◽  
The World ◽  
Dengue Outbreaks

Dengue is unquestionably one of the biggest health concerns in India and for many other developing countries. Unfortunately, many people have lost their lives because of it. Every year, approximately 390 million dengue infections occur around the world among which 500,000 people are seriously infected and 25,000 people have died annually. Many factors could cause dengue such as temperature, humidity, precipitation, inadequate public health, and many others. In this paper, we are proposing a method to perform predictive analytics on dengue’s dataset using KNN: a machine-learning algorithm. This analysis would help in the prediction of future cases and we could save the lives of many.

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