Low-Cost IoT Framework for Indian Agriculture Sector: A Compressive Review to Meet Future Expectation

2022 ◽  
pp. 241-258
Author(s):  
Ashish Verma ◽  
Rajesh Bodade
Keyword(s):  
Low Cost ◽  
Agriculture Sector ◽  
Indian Agriculture ◽  
Future Expectation

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 Growing Trends in Indian Farming using Internet of Things (IoT)

2019 ◽  
Vol 9 (2) ◽  
pp. 4360-4364 ◽  
Keyword(s):  
Energy Management ◽  
Soil Structure ◽  
Low Cost ◽  
Weather Condition ◽  
Weather Forecast ◽  
Weather Conditions ◽  
Model Solution ◽  
Indian Agriculture ◽  
Solar Plant ◽  
Day By Day

India is a land of different weather conditions and versatile soils. Every year Indian farmers are facing problem of sudden rain in their areas without any correct weather forecast which leads to damage of the already grown crops. The second major problem pertaining to Indian farmers is the lack of sufficient knowledge about their soil. The soil forecasting of how the soil structure is changing day by day due to different weather condition and other external factors, and which crop will be optimally suited to be grown in such soil are some of the problems common to the farmers. This paper makes an attempt to assess and propose model solution along with developing a prototype of device using IoT for use by farmers in Indian agriculture practice. The solution proposed will have a centralized data server to analyze the data and report to the farmer the precautionary steps to be taken in advance for safety of the crops. The solution proposed have eco-friendly energy management through solar plant and wind energy which makes IoT device more portable and low cost, along with making it implementable in Indian rural sectors..

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 An Automated Tomato Maturity Grading System Using Transfer Learning Based AlexNet

2021 ◽  
Vol 26 (2) ◽  
pp. 191-200
Author(s):  
Prasenjit Das ◽  
Jay Kant Pratap Singh Yadav ◽  
Arun Kumar Yadav
Keyword(s):  
Deep Learning ◽  
Transfer Learning ◽  
Low Cost ◽  
Confusion Matrix ◽  
Grading System ◽  
Learning Networks ◽  
Automatic Feature Extraction ◽  
Agriculture Sector ◽  
Extraction Behavior ◽  
Automated Grading

Tomato maturity classification is the process that classifies the tomatoes based on their maturity by its life cycle. It is green in color when it starts to grow; at its pre-ripening stage, it is Yellow, and when it is ripened, its color is Red. Thus, a tomato maturity classification task can be performed based on the color of tomatoes. Conventional skill-based methods cannot fulfill modern manufacturing management's precise selection criteria in the agriculture sector since they are time-consuming and have poor accuracy. The automatic feature extraction behavior of deep learning networks is most efficient in image classification and recognition tasks. Hence, this paper outlines an automated grading system for tomato maturity classification in terms of colors (Red, Green, Yellow) using the pre-trained network, namely 'AlexNet,' based on Transfer Learning. This study aims to formulate a low-cost solution with the best performance and accuracy for Tomato Maturity Grading. The results are gathered in terms of Accuracy, Loss curves, and confusion matrix. The results showed that the proposed model outperforms the other deep learning and the machine learning (ML) techniques used by researchers for tomato classification tasks in the last few years, obtaining 100% accuracy.

scholarly journals A Low-Cost Assembly for Extraction of Hot Calcium Chloride Extractable Boron from Soil Samples

Agropedology ◽  
2019 ◽  
Vol 30 (2) ◽  
Author(s):  
P.C. Srivastava ◽  
◽  
S.P. Pachauri ◽  
Keyword(s):  
Low Cost ◽  
Calcareous Soils ◽  
Soil Samples ◽  
Water Soluble ◽  
Hot Water ◽  
Condenser Tube ◽  
Reflux Condenser ◽  
Hot Plate ◽  
Indian Agriculture ◽  
Different Soils

Among micronutrients, boron (B) occupies a prime place next to zinc (Zn) in Indian Agriculture. Acidic soils, coarse-textured soils subjected to leaching in high rainfall areas, and calcareous soils are likely to be deficient in B (Srivastava and Gupta 1996). According to an estimate based on soil testing of more than two lakh samples drawn from 508 districts of India indicated that 23.2 percent of soil samples are deficient in B (Shukla et al. 2019). Though there are several methods for the analysis of B in soils yet hot water-soluble B (Berger and Truog 1940; Gupta 1967) or dilute CaCl2 extractable B (Cartwright et al. 1983; Adams et al. 1991) are widely adopted for different soils all over the World (Diana 2008). The assembly adopted for the extraction of hot water soluble or dilute CaCl2 extractable B is costly as it requires the use of low B glass or quartz boiling flask equipped with a condenser tube for refluxing (Parker and Gardner 1981) which generally poses difficulty in handling and maintenance. Schuppli (1986) used a Teflon Erlenmeyer flask (125 ml) capacity attached to a Teflon reflux condenser to extract hot water-soluble B from soils, and an asbestos mat was placed between the hot plate and the flask to prevent damage to the Teflon flask. This publication proposes a low-cost assembly to extract hot water-soluble or hot CaCl2 extractable B in soils.

scholarly journals THE ROLE OF ISLAMIC BANKING IN AGRICULTURE FINANCING (CASE STUDY OF INDONESIAN AGRICULTURE SECTOR)

2019 ◽  
Vol 7 (2) ◽  
pp. 261-269
Author(s):  
Satria Utama ◽  
Aqidah Asri Suwarsi ◽  
Listiono .
Keyword(s):  
Agricultural Sector ◽  
Low Cost ◽  
Secondary Data ◽  
Islamic Banking ◽  
Agricultural Finance ◽  
Agriculture Sector ◽  
Payment Schemes ◽  
Swot Matrix ◽  
The Impact

Purpose: This paper aims to analyze the role of Islamic banking in improving the agricultural sector as well as providing alternative solutions such as financing scheme for agricultural financing. Methodology: The research method is qualitative. A review of the extant literature was carried out for collecting primary and secondary data. In-depth interviews with key informants such the farmer and Islamic bank financing manager were also conducted. Data analysis was performed by adopting data reduction, data display with SWOT matrix, verification, and conclusion. Main findings: This paper finds that Islamic banking allocates financing for agricultural sector which is less than 10 percent of total financing. The finding is in line with the problem faced by the farmer. Based on the interview, it is known that the main problem of agriculture industry is limited access to the source of capital. The second finding pertains to the lack of Islamic banking’s role in agricultural financing caused by high risk perception and minimum competence of human resources to maintain the agricultural financing. Applications: This paper suggests the implementation of Ba'I As Salam scheme as an alternative for agricultural financing. Salam Financing Scheme is more suitable for agricultural financing than the murabaha financing that are commonly used today. Because the salam financing scheme intends to finance the sale and purchase of new commodities that are to be processed or produced and the delivery of their goods in the future, as well as allow for irregular payment schemes made in the harvest. Some of these advantages can be agricultural financing solution that is more in line with the characteristics of agricultural sector cash flow. Novelty/Originality of this study: Previous Studies related to the agricultural sector only deals with the impact of agricultural finance without offering low cost financing models as the solution to the main problem in the agricultural sector. This study provides solutions to these problems.

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

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