scholarly journals Can Smart Farming in India Eradicate the Problem of Agricultural and Crisis of Food Poverty from the Nation

2021 ◽  
Vol 9 (11) ◽  
pp. 1045-1049
Author(s):  
Dr. Sumanta Bhattacharya
Keyword(s):  
Artificial Intelligence ◽  
Remote Sensing ◽  
Technology Use ◽  
Agricultural Sector ◽  
Soil Nutrient ◽  
Vertical Farming ◽  
Use Of Resources ◽  
Smart Farming ◽  
The Government ◽  
Greenhouse Emission

Abstract: Smart farming has started taking a dynamic shape in the society , where the farmers are adopting smart farming with increase in the use of technologies like artificial intelligence , remote sensing for cultivation of crops with proper knowledge and information gained through digital market , satellite , farm mapping and climate condition to understand and make correct use of resources , controlling soil ,nutrient , saving water and use of less fertilizers in growing crops . Greenhouse , vertical farming , horticulture have entered the urban sector at a rapid pace to meet the demand of the growing society , smart agriculture has helped us to limit our dependence on water , soil and other chemical fertilizer . Today we produce more fresh , healthy and organic food . We have been successful in countering the climate influence over the food sector and reducing the greenhouse emission caused by agricultural sector or make it to zero emission , with promotion of vertical and indoor farming in the urban , semi urban and rural region, the government have encourage farmers to adopt smart farming what we require is to provide training and knowledge on technology use along with many resources available at a reasonable price for the farmers . Keywords: Smart Farming, farmers, vertical farming, artificial intelligence, remote sensing, technologies, climate, resources

The National Rural Drinking Water Security Pilot Project in India: A Cost–Benefit Analysis

2017 ◽  
Vol 03 (04) ◽  
pp. 1750009 ◽  
Author(s):  
David Weis ◽  
Guy Hutton ◽  
Manish Kumar
Keyword(s):  
Drinking Water ◽  
Agricultural Sector ◽  
Water Security ◽  
Pilot Project ◽  
Health Economy ◽  
Control Group ◽  
Costs And Benefits ◽  
High Performing ◽  
Use Of Resources ◽  
The Government

India categorizes the water situation of more than one-quarter of its governmental units as over-exploited, critical, or semi-critical. Unsustainable water extraction, inefficient use of resources, and the large water demand of the agricultural sector (more than 90%) are among the causes of the worsening state of water resources. In order to assure the access to clean drinking water, the Indian Ministry of Drinking Water and Sanitation initiated the National Rural Drinking Water Security Pilot Project in 2011. To analyze the costs and benefits of this pilot project, we follow the pretest–posttest control group study design comparing two points in time and two groups (study group and control group). In total, 12 sample villages (consisting of 3,265 households and 20,767 individuals) in two different areas were included. Costs and benefits were captured if they were directly and causally linked with the project. This includes financial and economic costs for individuals and the government, as well as benefits in four major fields: health, economy, environment, and time savings. We found total benefits ranging between USD 420,000 in low performing sites and USD 480,000 in high performing sites. Corresponding costs were between USD 40,000 and 45,000. Adjusted to per capita values, benefits vary between USD 54 and USD 300 and costs between USD 5 and USD 28. Adjusting a 99% confidence interval, the net benefits will vary between approximately USD 150 and USD 400 in the high performing sites and between USD 30 and USD 70 in the low performing sites. The expected benefit-to-cost ratios are 11 in high performing sites and 10 in the low performing sites. Due to the large social return in high as well as in low performing study sites, this paper recommends prolonging and upscaling the interventions evaluated in the pilot project sites.

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

The Problem of Agricultural Taxation in West Pakistan and an Alternative Solution: A Comment (Notes & Comments)

1973 ◽  
Vol 12 (4) ◽  
pp. 433-437
Author(s):  
Sarfaraz Khan Qureshi
Keyword(s):  
Capita Income ◽  
Agricultural Sector ◽  
Central Government ◽  
Policy Implications ◽  
Farm Size ◽  
Per Capita Income ◽  
Tax Rate ◽  
Water Rate ◽  
Per Capita ◽  
The Government

In the Summer 1973 issue of the Pakistan Development Review, Mr. Mohammad Ghaffar Chaudhry [1] has dealt with two very important issues relating to the intersectoral tax equity and the intrasectoral tax equity within the agricultural sector in Pakistan. Using a simple criterion for vertical tax equity that implies that the tax rate rises with per capita income such that the ratio of revenue to income rises at the same percentage rate as per capita income, Mr. Chaudhry found that the agricultural sector is overtaxed in Pakistan. Mr. Chaudhry further found that the land tax is a regressive levy with respect to the farm size. Both findings, if valid, have important policy implications. In this note we argue that the validity of the findings on intersectoral tax equity depends on the treatment of water rate as tax rather than the price of a service provided by the Government and on the shifting assumptions regard¬ing the indirect taxes on imports and domestic production levied by the Central Government. The relevance of the findings on the intrasectoral tax burden would have been more obvious if the tax liability was related to income from land per capita.

Intra-sectoral and Intersectoral Parity Issues in Pricing of Agricultural Crops: A Preliminary Analysis

1987 ◽  
Vol 26 (4) ◽  
pp. 401-417
Author(s):  
Sarfraz K. Qureshi
Keyword(s):  
Preliminary Analysis ◽  
Agricultural Sector ◽  
Terms Of Trade ◽  
Agricultural Crops ◽  
Allocation Of Resources ◽  
Price Determination ◽  
Policy Makers ◽  
The Government ◽  
Distribution Of Income ◽  
Over Time

Intersectoral terms of trade play a cruc1al role in determining the sectoral distribution of income and resource allocation in the developing countries. The significance of intra-sectoral terms of trade for the allocation of resources within the agricultural sector is also widely accepted by research scholars and policy-makers. In the context of planned development, the government specifies production targets for the agricultural sector and for different crops. The intervention of government in the field of price determination has important implications for the achievement of planned targets. In Pakistan, there is a feeling among many groups including farmers and politicians with a rural background that prices of agricultural crops have not kept their parities intact over time and that prices generally do not cover the costs of production. The feeling that production incentives for agriculture have been eroded is especially strong for the period since the early 1970s. It is argued that strong inflationary pressures supported by a policy of withdrawal of government subsidies on agricultural inputs have resulted in rapid increases in the prices paid by agriculturists and that increases in the prices received by farmers were not enough to compensate them for the rising prices of agricultural inputs and consumption goods.

Ghana: the State of Agriculture and Prospects for Food Security in the Context of Achieving SDGs

2018 ◽  
pp. 16-31
Author(s):  
Tatyana Denisova
Keyword(s):  
Food Security ◽  
Socioeconomic Development ◽  
Agricultural Sector ◽  
Well Being ◽  
The State ◽  
Successful Implementation ◽  
Careful Study ◽  
African Countries ◽  
Development Goals ◽  
The Government

For the first time in Russian African studies, the author examines the current state of agriculture, challenges and prospects for food security in Ghana, which belongs to the group of African countries that have made the most progress in achieving the Sustainable Development Goals (SDGs). The SDGs are a collection of 17 global goals adopted by UN member states in 2015 with a view of achieving them by 2030. The SDGs include: ending poverty in all its forms everywhere (Goal 1); ending hunger, achieving food security and improved nutrition, and promoting sustainable agriculture (2); ensuring healthy lives and promoting well-being for all at all ages (3), etc. These goals are considered fundamental because the achievement of a number of other SDGs – for example, ensuring quality education (4), achieving gender equality (5), ensuring sustainable consumption and production patterns (12), etc. – largely depends on their implementation. Ghana was commended by the world community for the significant reduction in poverty, hunger and malnutrition between 2000 and 2014, i.e. for the relatively successful implementation of the first of the Millennium Development Goals (MDGs, 2000–2015) – the eradication of extreme poverty and hunger. However, SDGs require more careful study and planning of implementation measures. In order to achieve the SDGs, the Government of Ghana has adopted a number of programs, plans and projects, the successful implementation of which often stumbles upon the lack of funding and lack of coordination between state bodies, private and public organizations, foreign partners – donors and creditors, etc., which are involved in the processes of socioeconomic development of Ghana. The author determines the reasons for the lack of food security in Ghana, gives an assessment of the state of the agricultural sector, the effective development of which is a prerequisite for the reduction of poverty and hunger, primarily due to the engagement of a significant share (45%) of the economically active population in this sector. The study shows that the limited growth in food production is largely due to the absence of domestic markets and necessary roads, means of transportation, irrigation and storage infrastructure, as well as insufficient investment in the agricultural sector, rather than to a shortage of fertile land or labor.

Strategic Innovation and Service Delivery in Public Universities in Kenya: A Case of Kenyatta University

2019 ◽  
Vol 3 (III) ◽  
pp. 199-211
Author(s):  
Stella Gati Maroa ◽  
Mary Namusonge
Keyword(s):  
Regression Analysis ◽  
Service Delivery ◽  
Diffusion Of Innovation ◽  
Technology Use ◽  
Public Universities ◽  
Policy Objective ◽  
The Public ◽  
Strategic Innovation ◽  
Use Of Technology ◽  
The Government

Strategic innovation is a strategic tool that can be used to align the institution’s resources and capabilities with opportunities in the external environment in order to enhance survival and long term success of the organization.  Innovation promotes use of technology consequently impacting positively on service delivery. Public universities reforms have been a necessary and on-going policy objective for the Government of Kenya. Innovation as one of the approaches to the reforms is intended to induce an overhaul the public university system to better serve the needs of both government and the citizens with improved delivery of public services. In Kenya technology in public institutions has not been effectively used to enhance service delivery more so institutions where technology use has been embraced, its impact on service delivery has not been assessed effectively. This study applied the institutional theory, diffusion of innovation theory and stakeholders theory of management to determine how strategic innovation at Kenyatta University impacts on service delivery. The general objective of this study therefore was to determine the effect of strategic innovation on service delivery in Kenyatta University. Specific objectives included finding out the influence of eLearning, online student registration and use of e-messaging services on service delivery in Kenyatta University. A population of 72,000 students admitted to Kenyatta University was used from which random sampling was conducted to a sample of 200 students using Nassiuma’s formula. Data was collected by disbursing physically the questionnaires to the students. Descriptive and regression analysis was conducted using SPSS 22 to provide findings on the study. The study conducted a multiple regression analysis to estimate the model for the study. The study had a coefficient of correlation R of 0.912 an indication of strong of correlation between the variables and a coefficient of adjusted R2 was 0.814.This means that there was a significant correlations between the variables and service delivery at Kenyatta University however other factors that are not considered in the research paper contribute approximately 18.6% of the service delivery at Kenyatta University. Therefore, a very extensive further research is highly required to investigate and come up with other factors of the viability to service delivery at Kenyatta University. The study concluded that the strategic innovation of the public universities ranges from the products and services offered and is determined by the technology that is revolutionizing the current global world and has improved the service delivery at Kenyatta University. A strategic innovation brings a lot of advantages and has a great impact on human and business daily life. Therefore, strategic innovation development is the best choice in helping higher institution of learning stay on track.

Remote Sensing Based Assessment of Agricultural Droughts in Sub-Watersheds of Upper Bhima Basin, India

2019 ◽  
Vol 2 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Nayan Zagade ◽  
Ajaykumar Kadam ◽  
Bhavana Umrikar ◽  
Bhagyashri Maggirwar
Keyword(s):  
Remote Sensing ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Agricultural Sector ◽  
Health Index ◽  
Drought Assessment ◽  
Drought Conditions ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Vegetation Health Index

Drought assessment for agricultural sector is vital in order to deal with the water scarcity in Ahmednagar and Pune districts, particularly in sub-watersheds of upper catchment of the River Bhima. Moderate Resolution Imaging Spectro-radiometer (MODIS) satellite data (2000, 2002, 2009, 2014, 2015 and 2017) for the years receiving less rainfall have been procured and various indices were computed to understand the intensity of agricultural droughts in the area. Vegetation health index (VHI) is computed on the basis of vegetation moisture, vegetation condition and land surface temperature condition. Most of the reviewed area shows moderate to extreme drought conditions.

scholarly journals Editorial for the Special Issue “Advanced Artificial Intelligence and Deep Learning for Remote Sensing”

2021 ◽  
Vol 13 (15) ◽  
pp. 2883
Author(s):  
Gwanggil Jeon
Keyword(s):  
Artificial Intelligence ◽  
Remote Sensing ◽  
Deep Learning ◽  
Special Issue ◽  
The Earth

Remote sensing is a fundamental tool for comprehending the earth and supporting human–earth communications [...]

scholarly journals Design and Analysis of Photovoltaic Powered Battery-Operated Computer Vision-Based Multi-Purpose Smart Farming Robot

Agronomy ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 530
Author(s):  
Aneesh A. Chand ◽  
Kushal A. Prasad ◽  
Ellen Mar ◽  
Sanaila Dakai ◽  
Kabir A. Mamun ◽  
...  
Keyword(s):  
Computer Vision ◽  
Storage Tank ◽  
Agricultural Sector ◽  
Pesticide Use ◽  
Vertical Orientation ◽  
Power Profile ◽  
Smart Farming ◽  
Fully Automatic ◽  
Solar Powered ◽  
Spraying Process

Farm machinery like water sprinklers (WS) and pesticide sprayers (PS) are becoming quite popular in the agricultural sector. The WS and PS are two distinct types of machinery, mostly powered using conventional energy sources. In recent times, the battery and solar-powered WS and PS have also emerged. With the current WS and PS, the main drawback is the lack of intelligence on water and pesticide use decisions and autonomous control. This paper proposes a novel multi-purpose smart farming robot (MpSFR) that handles both water sprinkling and pesticide spraying. The MpSFR is a photovoltaic (PV) powered battery-operated internet of things (IoT) and computer vision (CV) based robot that helps in automating the watering and spraying process. Firstly, the PV-powered battery-operated autonomous MpSFR equipped with a storage tank for water and pesticide drove with a programmed pumping device is engineered. The sprinkling and spraying mechanisms are made fully automatic with a programmed pattern that utilizes IoT sensors and CV to continuously monitor the soil moisture and the plant’s health based on pests. Two servo motors accomplish the horizontal and vertical orientation of the spraying nozzle. We provided an option to remotely switch the sprayer to spray either water or pesticide using an infrared device, i.e., within a 5-m range. Secondly, the operation of the developed MpSFR is experimentally verified in the test farm. The field test’s observed results include the solar power profile, battery charging, and discharging conditions. The results show that the MpSFR operates effectively, and decisions on water use and pesticide are automated.

scholarly journals Correction to: Soil Nutrient Detection Based on Photonic Crystal Hexagonal Resonator for Smart Farming

2021 ◽  
Author(s):  
Elizabeth Caroline Britto ◽  
Sathish Kumar Danasegaran ◽  
Susan Christina Xavier ◽  
Jeyarani Jeyaseelan
Keyword(s):  
Photonic Crystal ◽  
Soil Nutrient ◽  
Smart Farming
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