Does the Energy-Food Nexus Still Exist: Empirical Evidence from the Indian Agriculture Sector Post Food Crisis of 2006

2020 ◽  
Author(s):  
Rakesh Shahani ◽  
Shikshu Kumar ◽  
Anusha Goel
Keyword(s):  
Empirical Evidence ◽  
Food Crisis ◽  
Agriculture Sector ◽  
Indian Agriculture

Role of Research and Development in Sustaining Indian Agriculture: A Brief Review

2020 ◽  
pp. 396-401
Keyword(s):  
Research And Development ◽  
Production Process ◽  
Annual Increase ◽  
Agriculture Sector ◽  
The Past ◽  
Indian Agriculture ◽  
Self Sufficiency ◽  
Development Institutions ◽  
Agriculture Development

Technology united with research and development has evolved as a grave differentiator of the agriculture sector in India including production, processing, and agriculture packing and marketing of given crops. Near about 50 percent of the Indian workforce was engaged in the agriculture sector but its share in GDP was only 14 percent, much lower in comparison to former. Though, certain agriculture items showed a steady annual increase in terms of kilograms per hectare. Agriculture transformed significantly over the past few decades but when it comes to investment in research and development there is a lot more which needs to be done. The paper analyzes the role of various research and development institutions in boosting the growth of the agriculture sector that helps in attaining sustainable agriculture development and self-sufficiency in the production process since independence. It also focusesed on the various issues faced by these development institutions. The findings unveiled that since independence a lot more was done to boost the research and development in the agriculture sector at both the center and state levels but a proper implementation of these policies along with transparency could bring more desirable outcomes than were gained at present.

scholarly journals HEDGING IN AGRICULTURAL COMMODITIES

2018 ◽  
Vol 14 (4) ◽  
pp. 41-50
Author(s):  
Sumeet Gupta ◽  
Vinay Kandpal
Keyword(s):  
Food Production ◽  
Agricultural Products ◽  
Investment Risk ◽  
Agricultural Commodities ◽  
Agriculture Sector ◽  
Indian Agriculture ◽  
Agriculture Industry ◽  
Total Food ◽  
Commodity Derivatives ◽  
Competitive Pricing

The Indian Agriculture Sector is on the edge of a rebellion that will revolutionize the complete food chain by means of the total food production in India is expected to twofold in the following ten years. Outstanding export projections, competitive pricing of agricultural products that are internationally comparable has created trade prospects in the agro industry. Agricultural Output is expected to grow by 11% in 2018-2019 after recording a 8-9 % increase in the previous years. It will create Indian Agriculture Industry Gateway by which exporter and importer can fulfill their requirement and reap the benefits of agro related opportunities. MCX (Multi Commodity Exchange) and NCDEX (National Commodity Derivatives Exchange) has developed opportunities for trading in spot and forward trade. It will help to develop India as Agricultural Based Economy. Trading of agricultural commodities help the traders to take the advantage of Price Fluctuations but also faces Investment Risk and Price Risk. Movement in future prices create the possibility for short

scholarly journals Export Specialization of India with Top Five Agricultural Economies: An Application of RCA and RSCA

2019 ◽  
Vol 8 (12) ◽  
pp. 4705-4708 ◽  
Keyword(s):  
International Trade ◽  
Comparative Advantage ◽  
Export Performance ◽  
Standard International Trade Classification ◽  
Revealed Comparative Advantage ◽  
Agriculture Sector ◽  
Indian Agriculture ◽  
World Demand ◽  
Trade Classification ◽  
Export Specialization

The paper attempts to determine Revealed Comparative Advantage (RCA) and Revealed Symmetric Comparative Advantage (RSCA) of Indian agriculture sector with respect to top five agriculture exporting countries viz; USA, UK, UAE, Singapore and China. The study evaluates the structure of comparative advantage from 1995-2017. Data as per the Standard International Trade Classification (SITC-1) is used to compute RCA and RSCA index. The indices reveals the comparative advantage in case of majority of commodities like fish, fish preparations, fruits, vegetables, sugar, sugar preparations, miscellaneous food products, wood, lumber and cork. Increasing world demand for exports trailed by the competitiveness of Indian exports has played an important role in export performance.

scholarly journals Smart irrigation system based on IoT

2020 ◽  
Author(s):  
arushi dheer ◽  
M. L. sharma ◽  
krishna tripathi
Keyword(s):  
Large Scale ◽  
Soil Analysis ◽  
Irrigation System ◽  
Cost Effective ◽  
Water Shortage ◽  
Home Garden ◽  
Agriculture Sector ◽  
Indian Agriculture ◽  
Shared Network ◽  
Automated Irrigation System

<div><div><div><div><p>Agriculture is the backbone of the Indian economy. The Indian agriculture sector accounts for 18% of the gross domestic product and employs nearly 50% of the country's workforce, with increasing population, water shortage and ever-growing demand for food. Since the acres of land available for cultivation remains unchanged, it is critical that we take steps towards increasing productivity and optimizing water usage to increase yield from the land currently available for cultivation. Soil Analysis has become an essential factor for effective cultivation. The need for the automated irrigation system is to overcome over-irrigation and under-irrigation.[1] This research paper proposes an automated irrigation system using Arduino microcontroller, which is cost-effective and can be used on a farm field or average home garden. IoT is an upcoming technology with huge prospects. IoT is a technology which connects things, people, applications, data. Internet of Things (IoT)is a shared network of objects or things which can interact with each other provided the Internet connection—using this technology to implement this system at a lower scale to act as a base model. With the implementation of this project at a large scale, it could bring a significant change in the overall yield and water consumption in agriculture.</p></div></div></div></div>

scholarly journals Study report on Indian agriculture with IoT

2020 ◽  
Vol 10 (3) ◽  
pp. 2322
Author(s):  
G. Balakrishna ◽  
Nageswara Rao Moparthi
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Emerging Technologies ◽  
Agricultural Policies ◽  
Quality Work ◽  
Agriculture Sector ◽  
Indian Agriculture ◽  
Work Done

Most of the population of our country are depends on agriculture for their survival. Agriculture plays an important role in our country economy. But since past few years production from agriculture sector is decreasing drastically. Agriculture sector saw a drastic downfall in its productivity from past few years, there are many reasons for this downfall. In this paper we will discuss about past, present and future of agriculture in our country, agricultural policies which are provided by government to improve the growth of agriculture and reasons why we are not able see the growth in agriculture. And also we will see how can we adopt automation into agriculture using various emerging technologies like IoT (Internet of Things), data mining, cloud computing and machine learning and some authors done some quality work previously on this topic we will discuss that also. Here we will see previous work done by various authors which can be useful to increase the productivity of agriculture sector

Agricultural Crisis in India: Causes, Consequences and Remedies

2017 ◽  
Vol 3 (10) ◽  
Author(s):  
Dr. Lipishree Das
Keyword(s):  
Growth Rate ◽  
Rural Areas ◽  
Remedial Measures ◽  
Agriculture Sector ◽  
Indian Agriculture ◽  
Food Grains

Abstract More than twenty years of economic liberalisation had adversely affected the Indian agriculture. The most prominent sign of this is in the drastic decline in the growth rate of food grains. Again, if one observes Indian agriculture is currently passing through a period of severe crisis. Although some features of the crisis started manifesting themselves in certain parts of India during the late 1980s, the crisis has assumed a serious dimension since the middle of the 1990s. There is a general perception that unbearable burden of debt and augmented competitions from imports are indicative of a crisis in Indian agriculture. In this paper an attempt has been made to find out the trends in agriculture, causes of the crisis, problems faced by the agriculture sector and at the end some remedial measures are suggested for the betterment of this sector. To overcome the hurdles in this sector especially the farmers in the rural areas should be empowered with credit facilities. For this, policy and programs involving timely and adequate investment in agriculture would facilitate farmers? access to technologies and other relevant help in farming process.

A new approach for predicting crop yield prediction using data mining techniques

2019 ◽  
Author(s):  
Surya A. Venkaiah ◽  
Surya A. Venkaiah ◽  
Kondajji Swati Sunitha
Keyword(s):  
Data Mining ◽  
Climatic Conditions ◽  
Random Forest Algorithm ◽  
New Approach ◽  
Agriculture Sector ◽  
Prediction Algorithms ◽  
Indian Agriculture ◽  
Using Data ◽  
Prediction Techniques ◽  
Day By Day

Agriculture is the most important sector of Indian Economy. Indian agriculture sector accounts for 18 per cent of India's gross domestic product (GDP) and provides employment to 50% of the countries workforce. We all know agriculture is the most important factor which influence the economy of India and it also offers employment to 50% population of India. People of India are practicing agriculture for many years and the result were never satisfying due to many factors that affect the crop. Day by day environment is changing and is not stable at various places. It is very important for the farmer to cultivate their farm in good climatic conditions, under such conditions they need technology that predict the environment. In such cases data mining is the apt technology for prediction. Data mining contains various prediction algorithms like id3, cart, c4.5, random forest algorithm. In this Project we are using Id3 and cart algorithms as a prediction techniques and it is possible obtain the information from the prediction algorithms which helps farmers to cultivate the appropriate crop. Available online at https://int-scientific-journals.com

Image Pre-Processing and Paddy Pests Detection Using Tensorflow

2021 ◽  
pp. 131-139
Author(s):  
Rahul Sharma ◽  
Amar Singh
Keyword(s):  
Early Detection ◽  
Human Population ◽  
Deep Neural Network ◽  
Plant Diseases ◽  
Rapid Expansion ◽  
Agricultural Crops ◽  
Agriculture Sector ◽  
Indian Agriculture ◽  
Model Training ◽  
Deep Learning Model

Agriculture is one of the important sources of earning worldwide. With the rapid expansion of the human population and food security for all, the agriculture sector needs to be boosted to increase the yield. Agriculture is the prime source of livelihood in India for more than 50% of the total population. As per Indian agriculture and allied industries industry report, agriculture is one of the major contributors in gross value. Agricultural crops suffer heavy losses due to insect damage and plant diseases. Worldwide, out of the crop losses, major losses are caused by plant pests. In this chapter, various image pre-processing methods and the need of pre-preprocessing are discussed in detail. For image classification, TensorFlow deep neural network is presented. Deep learning model is used for automatic and early detection of paddy pests. Early detection of the pests will aid farmers in adopting necessary preventive measures. Multiple ways to reduce overfitting during model training are also suggested.

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