ID: 64506
Title: Multi-sensor data fusion for precise measurement of a tractor implement performance in the field
Author: Tarandeep Singh, Aseem Verma, Manjeet Singh and Prabhnaman Kaur
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 124 (9) 1082-1087 (2023)
Subject: Multi-sensor data fusion for precise measurement of a tractor implement performance in the field
Keywords: Data logger, instrumentation system, performance assessment, sensors, tractor implements.
Abstract: A multi-sensor-based instrumentation system was assessed under static and dynamic conditions to precisely
measure a tractor-implement performance in the field.
The system was evaluated using a tractor and three different implements, viz. 11-tyne cultivator, three-bottom
ridger and nine-row spatially modified no-till drill. The
final results were compared with conventional measurement techniques. The range of disparity for wheel slip,
draft, inclination angle, fuel consumption, radiator fan
speed and forward speed was 4.24–5.99%, 2.63–4.95%,
2.68–7.20%, 3.78–5.64%, 3.37–4.81% and 3.04–4.97%
respectively. The system could measure real-time variations in the field and proved to be an energy- and timesaving device.
Location: T E 15 New Biology building
Literature cited 1: Shagun, Agri share in GDP hit 20% after 17 years: Economic Survey. Down to Earth (Agriculture), 29 January 2021.
Arjun, K. M., Indian agriculture – status, importance and role in Indian
economy. Int. J. Agric. Food Sci. Technol., 2013, 4(4), 343–346
Literature cited 2: Mondal, P., Basu, M. and Bhadoria, P. B. S., Critical review of precision agriculture technologies and its scope of adoption in India. Am.
J. Exp. Agric., 2013, 1(3), 49–68.
Singh, C. D. and Singh, R. C., Computerized instrumentation system
for monitoring the tractor performance in the field. J. Terramech.,
2011, 48(5), 333–338
ID: 64505
Title: Machine learning algorithms for categorization of agricultural dust emissions using image processing of wheat combine harvester
Author: Utpal Ekka , Himadri Shekhar Roy, Adarsh Kumar , S. P. Singh , Apratim Kumar Pandey and Kamalika Nath
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 124 (9) 1074-1081 (2023)
Subject: Machine learning algorithms for categorization of agricultural dust emissions using image processing of wheat combine harvester
Keywords: Agriculture, combine harvester, dust and straw particles, image processing, machine learning.
Abstract: India is the second largest wheat producer in the world
after Russia. Wheat harvesting in the country was traditionally done using a sickle, a hand tool. However, in
the last two decades, combined harvesters have been extensively used. The rapid development of mechanization
has resulted in the production of dust and straw particles
during the harvesting operation of wheat. These particles have severe health hazards for the machine operator.
Exposure to various types of particulate matter has a variety of effects on human health. Such an effect can be
minimized if the concentration of the generated particle
is maintained within a permissible limit. Hence, the
present study has been conducted to evaluate and categorize dust and straw particles in the workspace of a
combine harvester operator during wheat harvesting. An
image-processing technique was used to study a field
data sample collected on sticky paper. It describes a novel
method of collecting dust and straw particles while harvesting wheat. Few studies have been conducted in developing countries to analyse the characteristics of dust
and wheat straw exposure of combined harvester operators. The number of dust and straw particles deposited
per square millimetre was 9–12, with sizes ranging from
10 to 1400 µm. The extracted data were divided into three
groups, viz. thoracic, inhalable and straw and modelled
using machine learning algorithms, including support vector machine (SVM) and k-nearest neighbor. With an accuracy of 96%, SVM outperformed the other methods
for categorising dust and straw particles, whereas linear
discriminant analysis performed poorly with an accuracy of 88%.
Location: T E 15 New Biology building
Literature cited 1: Berglund, B., Lindvall, T. and Schwela, D. H., World Health Organization Occupational and Environmental Health Team. Guidelines for Community Noise, World Health Organization, Geneva, Switzerland, 1999.
Devi, M., Kumar, J., Malik, D. P. and Mishra, P., Forecasting of
wheat production in Haryana using hybrid time series model. J.
Agric. Food Res., 2021, 5, 100175
Literature cited 2: Singh, S. P. and Singh, S., Farm power availability and its perspective in Indian agriculture. RASSA J. Sci. Soc., 2021, 3(2), 114–126.
Mehta, C. R., Chandel, N. S., Jena, P. C. and Jha, A., Indian agriculture counting on farm mechanization. Agric. Mech. Asia, Afr.
Latin Am., 2019, 50(1), 84–89.
ID: 64504
Title: Deep learning technique for forecasting the price of cauliflower
Author: Ranjit Kumar Paul, Md Yeasin, Pramod Kumar, A. K. Paul and H. S. Roy
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 124 (9) 1065-1073 (2023)
Subject: Deep learning technique for forecasting the price of cauliflower
Keywords: Cauliflower, deep learning technique, machine learning, statistical models, vegetable prices
Abstract: Vegetables are the staple food in our diets. Vegetable
prices are difficult to forecast because they are influenced by a variety of factors, including weather, demand
and supply chain, Government policies, etc. and exhibit
volatile fluctuations. Marketing of vegetables is complex,
especially because of their perishability, seasonality and
bulkiness. An accurate and timely forecast of vegetables is essential to help its stakeholders. Previous studies
observed that traditional statistical models are unable
to capture the complex behaviour of vegetable markets.
In this study, a comparative assessment has been carried
out among the traditional time-series model, machine
learning and deep learning techniques in order to find
the best-suited model. For empirical illustration, cauliflower markets have been chosen as it is one of India’s
most important and popular winter. In order to identify
the complexity in the price of cauliflower, the machine
learning technique, i.e. artificial neural network and
deep learning technique, i.e. long short-term memory
model have been implemented. In addition, the traditional stochastic time-series model, i.e. autoregressive integrated moving average model, was used to compare
the prediction accuracy of the above models. To this
end, the moving window forecast approach was also
implemented to evaluate the sensitivity of these models
with respect to forecast length. It can be concluded that
the deep learning model outperforms the traditional
time-series model and the machine learning technique
for both short- and long-term forecasting.
Location: T E 15 New Biology building
Literature cited 1: Dias, J. S., Nutritional quality and effect on disease prevention of
vegetables. Food Nutr. Sci., 2019, 10(4), 369–402.
Kumar, V., Sharma, H. R. and Singh, K., Behaviour of market arrivals and prices of selected vegetable crops: a study of four metropolitan markets. Agric. E
Literature cited 2: https://www.fao.org/faostat/es/#home (accessed on 13 January 2022).
Paul, R. K., Das, T. and Yeasin, M., Ensemble of time series and
machine learning model for forecasting volatility in agricultural
prices. Natl. Acad. Sci. Lett., 2023; https://doi.org/10.1007/s40009-
023-01218-x
ID: 64503
Title: SSR polymorphism and genetics and inheritance of yield and yield-attributing traits in bitter gourd (Momordica charantia L.)
Author: Ipsita Panigrahi , A. D. Munshi1, S. S. Dey, A. B. Gaikwad , Manoranjan Senapati and Avinash Tomer
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 124 (9) 1058-1064 (2023)
Subject: SSR polymorphism and genetics and inheritance of yield and yield-attributing traits in bitter gourd (Momordica charantia L.)
Keywords: Epistasis, gene interaction, Momordica charantia L., monogenic inheritance, polymorphism
Abstract: The present study was conducted to ascertain the gene
action and inheritance of yield and various yield-attributing traits and to screen the simple sequence repeat
(SSR) markers for parental polymorphism in bitter gourd
(Momordica charantia L.). Two contrasting parents (S-2
and Pusa Purvi) were used for hybridization. Parental
polymorphism was analysed using 100 SSR markers.
DNA amplicon of size around 150–250 bp in both the
parents was obtained for the 10 polymorphic SSR markers. These were used to ascertain the hybridity of F1
progeny, from which the subsequent generations were
developed. Generation mean analysis, ABCD scaling
test and joint scaling test were performed using the observations from six generations (parent-1, parent-2, F1,
F2, back cross 1 and back cross 2). The additive effect
of the genes was predominant for the quantitative
traits like fruit length, diameter, weight, etc. Duplicate
epistasis was observed for the majority of traits. The
yield per plant was positively correlated with fruit
length, diameter, weight and fruit number per plant.
Chi-square test revealed the monogenic inheritance of
qualitative traits (fruit tubercles and ridgeness, and
shape at apex), in which ‘conspicuous tubercles’, ‘discontinuous ridgeness’ and ‘acute fruit shape at apex’ were
dominant. These results reveal the complexity and polygenic nature of the yield. The findings obtained from
the present study can be used for yield improvement in
the future. For this, the polymorphic SSRs identified
can also be used in genetic diversity studies, DNA fingerprinting, genetic mapping, genomics analysis, etc.
Location: T E 15 New Biology building
Literature cited 1: Behera, T. K., Behera, S., Bharathi, L. K., John, K. J., Simon, P.
W. and Staub, J. E., Bitter gourd: botany, horticulture, breeding.
Hortic. Rev., 2010, 37, 101–139.
Guo, D. L., Zhang, J. P., Xue, Y. M. and Hou, X. G., Isolation and
characterization of 10 SSR markers of Momordica charantia
(Cucurbitaceae). Am. J. Bot., 2012, 99(5), e182–e183.
Literature cited 2: Bharathi, L. K. et al., Production and preliminary characterization
of inter-specific hybrids derived from Momordica species. Curr.
Sci., 2012, 103, 178–186.
Cui, J., Cheng, J., Nong, D., Peng, J., Hu, Y., He, W. and Hu, K.,
Genome-wide analysis of simple sequence repeats in bitter gourd
(Momordica charantia). Front. Plant Sci., 2017, 8, 1–10.
ID: 64502
Title: Experimental designs for the selection of integrated farming system components
Author: Sayantani Karmakar , Cini Varghese, Mohd Harun , L. N. Vinaykumar and Eldho Varghese
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 124 (9) 1053-1057 (2023)
Subject: Experimental designs for the selection of integrated farming system components
Keywords: Block designs, integrated farming system, livelihood security, small and marginal farmers, two-part design
Abstract: Integrated farming system (IFS) approach is a powerful
tool for ensuring the livelihood security of small and marginal farmers. The precision of IFS experiments can be
enhanced using statistical and computational tools. Twopart designs are helpful in selecting the best possible
components in IFS. They involve two groups of treatment
arranged in incomplete blocks with respect to both
groups, and the concurrence of treatment pairs within
and between groups is constant. The fusion of two incomplete block designs in a systematic manner can yield
two-part designs. Further, for situations where certain
experimental units are not available, two-part structurally
incomplete designs are proposed
Location: T E 15 New Biology building
Literature cited 1: Ravisankar, N. et al., Sustainable livelihood security of small farmers
improved through a resilient farming system in the semiarid region
of India. Land Degrad. Dev., 2022; doi:org/10.1002/ldr.4358.
Bose, R. C., On the construction of balanced incomplete block designs.
Ann. Eugen., 1939, 9(4), 353–399.
Literature cited 2: Bose, R. C. and Nair, K. R., Partially balanced incomplete block
designs. Sankhyā: Indian J. Stat., 1939, 4, 337–372.
Bose, R. C. and Shimamoto, T., Classification and analysis of partially balanced incomplete block designs with two associate classes.
J. Am. Stat. Assoc., 1952, 47(258), 151–184.
ID: 64501
Title: Biodiversity wealth forging well-being: a case of institutional herbal garden consolidating the biodiversity citizen science
Author: Tara Singh Mehra, D. K. Pandey and Shantanu Kumar Dubey
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 124 (9) 1033-1038 (2023)
Subject: Biodiversity wealth forging well-being: a case of institutional herbal garden consolidating the biodiversity citizen science
Keywords: Biodiversity, citizen science, indigenous materials, institutional herbal garden, traditional resource
Abstract: The institutional herbal garden for North East region (NER) of India was established in 2014 wherein medicinal and aromatic plant (MAPs) species were brought from different ecologies experienced
differential survival. This triggered the participation of local citizens in developing the science of
herbal biodiversity in this region. Consequently, MAPs were collected from the forest and farmers’
fields in different parts of NER. This resulted in better survival of the species from tropical to subtemperate conditions of NER. Over eight years, 164 MAPs have been conserved in the herbal garden
representing 60 families comprising herbs (84), shrubs (45), climbers (15), trees (15) and grasses
(5). The herbal garden at Pasighat conserves over 50% of the species documented nationwide including
nine of the threatened species of India. Thus, the herbal gardens endorsing citizen science is instrumental for the widespread sharing of scientific expertise and stewardship on healing herbs.
Location: T E 15 New Biology building
Literature cited 1: Peter, M., Diekötter, T., Höffler, T. and Kremer, K., Biodiversity
citizen science: outcomes for the participating citizens. People Nat.,
2021, 3(2), 294–311.
Bonney, R. et al., Next steps for citizen science. Science, 2014,
343(6178), 1436–1437.
Literature cited 2: Theobald, E. J. et al., Global change and local solutions. Tapping
the unrealized potential of citizen science for biodiversity research.
Biol. Conserv., 2015, 181, 236–244.
Willis, K. J., State of the world’s plants report. Royal Botanic Gardens, 2017.
ID: 64500
Title: Karankadu mangroves – an ecological asset to the Indian east coast
Author: A. Arunprasath, S. Sreeram and V. Sankara Vel
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 124 (9) 1023-1023 (2023)
Subject: Karankadu mangroves – an ecological asset to the Indian east coast
Keywords: Karankadu mangroves, ecological asset, Indian east coast
Abstract: The Karankadu mangrove forest is situated
in Ramanathapuram district, Tamil Nadu,
India. Falling under the Gulf of Mannar
Marine National Park, this human-made
mangrove forest is important to the surrounding ecosystem. This area is present
between Ramanad–Thondi East Coast
Road. The Karankadu mangrove swamp lies
at 9°36′N lat. and 78°83′E long. and is situated in the Palk Bay region of the southeast coast of India. It has a long coastline
(around 241 km). About 40–50 years ago,
the Karankadu village was surrounded by
Prosopis species (Karachedi). The area
was deforested for living, and hence the
village is named Karankadu. Hunting of
birds and fish is the main livelihood of the
villagers. Earlier, this area was dry and
backward. The Ramanathapuram district receives rainfall under the influence of both
southwest (SW) and northeast (NE) monsoons, with the latter being the chief contributor. Most of the precipitation occurs in
the form of cyclonic storms caused by depressions in the Bay of Bengal.
Location: T E 15 New Biology building
Literature cited 1: Prasanna, J., Anand, M., Vijayasekaran, D.
and Kumaraguru, A. K., Indian J. Geo-Mar.
Sci., 2017, 46(8), 1682–1692.
Literature cited 2: Walter Scott, D. J., Ecotourism planned in
the mangrove forest area. The Hindu, 2017.
ID: 64499
Title: Towards stewardship of oceans: Role of G20 countries
Author: Shailesh Nayak
Editor: S.K.Satheesh
Year: 2023
Publisher: Current Science Association and Indian Academy of Sciences.
Source: ENVIS, CES & EWRG, CES
Reference: Current Science Vol. 124 (9) 1019-1020 (2023)
Subject: Towards stewardship of oceans: Role of G20 countries
Keywords: stewardship, oceans, G20 countries
Abstract: Life originated in the ocean and thus it is the single most
reason to protect the ocean environment. Oceans supply
food, energy, mineral resources and are storehouses of biodiversity; they influence weather and climate and provide
an ecosystem for sustaining human life and other biota.
Oceans are the major source of fossil-fuel-based energy and
influence the economy of the world and thus also are of
strategic importance. It is imperative that future growth and
prosperity will be dependent on oceans in view of the impacts of climate change on sustainability. For the same reason, the UN Conference on Sustainable Development in
2012, stressed expanding the green economy to a blue economy. The conservation and sustainable utilization of the
oceans, seas and marine resources have been identified as
one of the UN Sustainable Development Goals (SDGs). Considering the importance of ocean development, UNESCO/
International Oceanographic Commission (IOC) has declared the current decade as the ‘Decade of Ocean Science’ to
deliver the science needed to achieve SDG-14, ‘Life under
Water’. Prime Minister Narendra Modi has recognized the
vital role of the ocean-dependent economy for future development and very aptly articulated the importance of the blue
economy as follows: ‘To me, the blue chakra or wheel in
India’s flag represents the potential of the blue revolution,
or the ocean economy’. As oceans are going to play a stellar
role in global development, it is vital that G20 under India’s
Presidency gives sufficient importance to develop the blue
economy for global good.
Location: T E 15 New Biology building
Literature cited 1:
Literature cited 2:
ID: 64498
Title: Geospatial data for vegetation monitoring
Author: - (Case study)
Editor: Sanjay Kumar
Year: 2023
Publisher: Sanjay Kumar
Source: ENVIS, CES & EWRG, CES
Reference: Geospatial artha Volume 01 Issue 5 44-44 (2023)
Subject: Geospatial data for vegetation monitoring
Keywords: Geospatial data, vegetation monitoring
Abstract: To leverage Geospatial data and technolgies for monitoring and managing the planet's green cover , in line with the Sustainable Development Goals for life on land (SDG 15) and climate action (SDG13)
Location: T E 15 New Biology building
Literature cited 1:
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ID: 64497
Title: Urban rejuvenation and transformation through GIS
Author: - (Case study)
Editor: Sanjay Kumar
Year: 2023
Publisher: Sanjay Kumar
Source: ENVIS, CES & EWRG, CES
Reference: Geospatial artha Volume 01 Issue 5 43-43 (2023)
Subject: Urban rejuvenation and transformation through GIS
Keywords: Urban rejuvenation, transformation through GIS
Abstract: The government of India launched the Atal Mission for Rejuvenation and Urban Transformation (AMRUT) in 2015 as a National Mission. The AMRUT mission focuses on 11 reforms and 52 milestones to be implemented by 500 Mission Cities in different States, revolving around e-governance, constitution and professionalization, augmenting double-entry accounting, urban planning and city level plans, devolution of funds, review of building by laws, setting up financial intermediary at state level, municipal tax and fee improvement, improvement in levy and collection of user charges , credit rating , energy and water and Swachh Bharat Mission(Clean India Mission).
Location: T E 15 New Biology building
Literature cited 1:
Literature cited 2:
ID: 64496
Title: Securing Land rights for Tribals via spatial
Author: - (Case study)
Editor: Sanjay Kumar
Year: 2023
Publisher: Sanjay Kumar
Source: ENVIS, CES & EWRG, CES
Reference: Geospatial artha Volume 01 Issue 5 42-42 (2023)
Subject: Securing Land rights for Tribals via spatial
Keywords: Securing Land rights, Tribals
Abstract: Adivasis and other traditional forest dwellers have been living in the forests from time immemorial. Yet their rights over their lands and forests were never properly recognized and recorded during the forest settlements process, even after India's independence.
This made them 'encroachers' in their homelands and deprived them of the rights and security of tenure over their lands and forests, which is why have been living a life of extreme poverty and hunger amid areas rich in forests and other natural resources.
Location: T E 15 New Biology building
Literature cited 1:
Literature cited 2:
ID: 64495
Title: GIS for Tsunami and storm surge warning system
Author: - (Case study)
Editor: Sanjay Kumar
Year: 2023
Publisher: Sanjay Kumar
Source: ENVIS, CES & EWRG, CES
Reference: Geospatial artha Volume 01 Issue 5 41-42 (2023)
Subject: GIS for Tsunami and storm surge warning system
Keywords: GIS, Tsunami, Storm surge warning system
Abstract: The world's second-largest recorded earthquake, the great Sumatran earthquake with a magnitude of 9.3 in 2004 caused a tsunami that took an unprecedented loss of life and damage to property claiming 10, 745 lives in India making it one of the deadliest natural hazards in history.
Location: T E 15 New Biology building
Literature cited 1:
Literature cited 2:
ID: 64494
Title: Geospatial empowering rural women in India
Author: -(Case study)
Editor: Sanjay Kumar
Year: 2023
Publisher: Sanjay Kumar
Source: ENVIS, CES & EWRG, CES
Reference: Geospatial artha Volume 01 Issue 5 40-40 (2023)
Subject: Geospatial empowering rural women in India
Keywords: Geospatial empowering, Rural women, India
Abstract: The Bhu-Kushal, Which loosely translates to Geographic skills, is an Estri India CSR Program for women empowerment designed to impart basic to advanced learning in GIS to empower rural women with spatial skills and the use of GIS technologies.
With a better understanding of the value of adopting a geographic approach to problem-solving rural women can collaboratively leverage the context of location and interdepencies of various factors for solving pressing economic, social and environmental challenges in their rural environs.
Location: T E 15 New Biology building
Literature cited 1:
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ID: 64493
Title: India's Space Diplomacyorging an independent Track
Author: Omkar Nikam
Editor: Sanjay Kumar
Year: 2023
Publisher: Sanjay Kumar
Source: ENVIS, CES & EWRG, CES
Reference: Geospatial Artha Volume 01 Issue 5 32-34 (2023)
Subject: India's Space Diplomacyorging an independent Track
Keywords: India's space diplomacy
Abstract: India's space diplomacy has evolved over time with not only multiple international partners but also creating a commercial pathway for the private space sector.
Though there are still numerous policy reforms required to increase the participation of the private sector, it is fair to say that India's recent activity in the space domain has made it one of the most resilient international players.
Location: T E 15 New Biology building
Literature cited 1:
Literature cited 2:
ID: 64492
Title: Hyperspectral data for earth monitoring
Author: Nibedita Mohanta
Editor: Sanjay Kumar
Year: 2023
Publisher: Sanjay Kumar
Source: ENVIS, CES & EWRG, CES
Reference: Geospatial Artha Volume 01 Issue 5 22-24 (2023)
Subject: Hyperspectral data for earth monitoring
Keywords: Hyperspectral data, Earth monitoring
Abstract: Founded in 2019, Indian space startup Pixel is building a constellation of hyperspectral imaging satellites and aims to become the pioneer of Earth monitoring .Awais Ahmed, the founder, was part of the SpaceX team in 2017 and built India's first Hyperloop Pod for the SpaceX Hyperloop Pad competition. This inspired him to work in the space sector.
Location: T E 15 New Biology building
Literature cited 1:
Literature cited 2: