427 research outputs found
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Metal-organic frameworks as potential agents for extraction and delivery of pesticides and agrochemicals
YesPesticide contamination is a global issue, affecting nearly 44% of the global farming population, and disproportionately affecting farmers and agricultural workers in developing countries. Despite this, global pesticide usage is on the rise, with the growing demand of global food production with increasing population. Different types of porous materials, such as carbon and zeolites, have been explored for the remediation of pesticides from the environment. However, there are some limitations with these materials, especially due to lack of functional groups and relatively modest surface areas. In this regard, metal-organic frameworks (MOFs) provide us with a better alternative to conventionally used porous materials due to their versatile and highly porous structure. Recently, a number of MOFs have been studied for the extraction of pesticides from the environment as well as for targeted and controlled release of agrochemicals. Different types of pesticides and conditions have been investigated, and MOFs have proved their potential in agricultural applications. In this review, the latest studies on delivery and extraction of pesticides using MOFs are systematically reviewed, along with some recent studies on greener ways of pest control through the slow release of chemical compounds from MOF composites. Finally, we present our insights into the key issues concerning the development and translational applications of using MOFs for targeted delivery and pesticide control
Determination of autumn senescence in subtropical sourveld grasslands, KwaZulu-Natal, South Africa, based on remote sensing techniques: an approach towards forage quality and quantity assessment.
Doctoral Degree. University of KwaZulu-Natal, Pietermaritzburg.Abstract available in PDF
ACARORUM CATALOGUS IX. Acariformes, Acaridida, Schizoglyphoidea (Schizoglyphidae), Histiostomatoidea (Histiostomatidae, Guanolichidae), Canestrinioidea (Canestriniidae, Chetochelacaridae, Lophonotacaridae, Heterocoptidae), Hemisarcoptoidea (Chaetodactylidae, Hyadesiidae, Algophagidae, Hemisarcoptidae, Carpoglyphidae, Winterschmidtiidae)
The 9th volume of the series Acarorum Catalogus contains lists of mites of 13 families, 225 genera and 1268 species of the superfamilies Schizoglyphoidea, Histiostomatoidea, Canestrinioidea and Hemisarcoptoidea. Most of these mites live on insects or other animals (as parasites, phoretic or commensals), some inhabit rotten plant material, dung or fungi. Mites of the families Chetochelacaridae and Lophonotacaridae are specialised to live with Myriapods (Diplopoda). The peculiar aquatic or intertidal mites of the families Hyadesidae and Algophagidae are also included.Publishe
High-throughput phenotyping of plant leaf morphological, physiological, and biochemical traits on multiple scales using optical sensing
Acquisition of plant phenotypic information facilitates plant breeding, sheds light on gene action, and can be applied to optimize the quality of agricultural and forestry products. Because leaves often show the fastest responses to external environmental stimuli, leaf phenotypic traits are indicators of plant growth, health, and stress levels. Combination of new imaging sensors, image processing, and data analytics permits measurement over the full life span of plants at high temporal resolution and at several organizational levels from organs to individual plants to field populations of plants. We review the optical sensors and associated data analytics used for measuring morphological, physiological, and biochemical traits of plant leaves on multiple scales. We summarize the characteristics, advantages and limitations of optical sensing and data-processing methods applied in various plant phenotyping scenarios. Finally, we discuss the future prospects of plant leaf phenotyping research. This review aims to help researchers choose appropriate optical sensors and data processing methods to acquire plant leaf phenotypes rapidly, accurately, and cost-effectively
CERNAS: Current Evolution and Research Novelty in Agricultural Sustainability
Climate changes pose overwhelming impacts on primary production and, consequently, on
agricultural and animal farming. Additionally, at present, agriculture still depends strongly on
fossil fuels both for energy and production factors ,such as synthetized inorganic fertilizers and
harmful chemicals such as pesticides. The need to feed the growing world population poses many
challenges. The need to reduce environmental impacts to a minimum, maintain healthy ecosystems,
and improve soil microbiota are central to ensuring a promising future for coming generations.
Livestock production under cover crop systems helps to alleviate compaction so that oxygen and
water can sufficiently flow in the soil, add organic matter, and help hold soil in place, reducing
crusting and protecting against erosion. The use of organic plant production practices allied to
the control of substances used in agriculture also decisively contributes to alleviating the pressure
on ecosystems. Some of the goals of this new decade are to use enhanced sustainable production
methodologies to improve the input/output ratios of primary production, reduce environmental
impacts, and rely on new innovative technologies.
This reprint addresses original studies and reviews focused on the current evolution and
research novelty in agricultural sustainability. New developments are discussed on issues related
to quality of soil, natural fertilizers, or the sustainable use of land and water. Also, crop protection
techniques are pivotal for sustainable food production under the challenges of the Sustainable
Development Goals of the United Nations, allied to innovative weed control methodologies as a
way to reduce the utilization of pesticides. The role of precision and smart agriculture is becoming
more pertinent as communication technologies improve at a rapid rate. Waste management, reuse of
agro-industrial residues, extension of shelf life, and use of new technologies are ways to reduce food
waste, all contributing to higher sustainability in food supply chains, leading to a more rational use
of natural resources. The unquestionable role of bees as pollinators and contributors to biodiversity
is adjacent to characterizing beekeeping activities, which in turn contributes, together with the
valorization of endemic varieties of plant foods, to the development of local communities. Finally,
the short circuits and local food markets have a decisive role in the preservation and enhancement of
rural economies.info:eu-repo/semantics/publishedVersio
Land Surface Monitoring Based on Satellite Imagery
This book focuses attention on significant novel approaches developed to monitor land surface by exploiting satellite data in the infrared and visible ranges. Unlike in situ measurements, satellite data provide global coverage and higher temporal resolution, with very accurate retrievals of land parameters. This is fundamental in the study of climate change and global warming. The authors offer an overview of different methodologies to retrieve land surface parameters— evapotranspiration, emissivity contrast and water deficit indices, land subsidence, leaf area index, vegetation height, and crop coefficient—all of which play a significant role in the study of land cover, land use, monitoring of vegetation and soil water stress, as well as early warning and detection of forest fires and drought
Analyzing the Adoption, Cropping Rotation, and Impact of Winter Cover Crops in the Mississippi Alluvial Plain (MAP) Region through Remote Sensing Technologies
This dissertation explores the application of remote sensing technologies in conservation agriculture, specifically focusing on identifying and mapping winter cover crops and assessing voluntary cover crop adoption and cropping patterns in the Arkansas portion of the Mississippi Alluvial Plain (MAP). In the first chapter, a systematic review using the PRISMA methodology examines the last 30 years of thematic research, development, and trends in remote sensing applied to conservation agriculture from a global perspective. The review uncovers a growing interest in remote sensing-based research in conservation agriculture and emphasizes the necessity for further studies dedicated to conservation practices. Among the 68 articles examined, 94% of studies utilized a pixel-based classification method, while only 6% employed an object-based approach. The analysis also revealed a thematic shift over time, with tillage practices being extensively studied before 2005, followed by a focus on crop residue from 2004 to 2012. From 2012 to 2020, there was a renewed emphasis on cover crops research. These findings highlight the evolving research landscape and provide insights into the trends within remote sensing-based conservation agriculture studies. The second chapter presents a methodological framework for identifying and mapping winter cover crops. The framework utilizes the Google Earth Engine (GEE) and a Random Forest (RF) classifier with time series data from Landsat 8 satellite. Results demonstrate a high classification accuracy (97.7%) and a significant increase (34%) in model-predicted cover crop adoption over the study period between 2013 and 2019. Additionally, the study showcases the use of multi-year datasets to efficiently map the growing season\u27s length and cover crops\u27 phenological characteristics. The third chapter assesses the voluntary adoption of winter cover crops and cropping patterns in the MAP region. Remote sensing technologies, USDA-NRCS government cover crop data sources, and the USDA Cropland Data Layer (CDL) are employed to identify cover crop locations, analyze county-wide voluntary adoption, and cropping rotations. The result showed a 5.33% increase in the overall voluntary adoption of cover crops in the study region between 2013 and 2019. The findings also indicate a growing trend in cover crop adoption, with soybean-cover crop rotations being prominent. This dissertation enhances our understanding of the role of remote sensing in conservation agriculture with a particular focus on winter cover crops. These insights are valuable for policymakers, stakeholders, and researchers seeking to promote sustainable agricultural practices and increased cover crop adoption. The study also underscores the significance of integrating remote sensing technologies into agricultural decision-making processes and highlights the importance of collaboration among policymakers, researchers, and producers. By leveraging the capabilities of remote sensing, it will enhance conservation agriculture contribution to long-term environmental sustainability and agricultural resilience. Keywords: Remote sensing technologies, Conservation agriculture, Winter cover crops, Voluntary adoption, Cropping patterns, Sustainable agricultural practice
CERNAS – Current Evolution and Research Novelty in Agricultural Sustainability
This book addresses original studies and reviews focused on the current evolution and research novelty in agricultural sustainability.
New developments are discussed on issues related with quality of soil, natural fertilizers or the sustainable use of land and water. Also crop protection techniques are pivotal for the sustainable food production under the challenges of the Sustainable Development Goals of the United Nations, allied to innovative weed control methodologies, as a way to reduce the utilization of pesticides. The role of precision and smart agriculture is becoming more pertinent as the communication technologies improve at a high rate. Waste management, reuse of agro industrial residues, extension of shelf life and use of new technologies are ways to reduce food waste, all contributing to a higher sustainability of the food supply chains, leading to a more rational use of natural resources. The unquestionable role of bees as pollinators and contributors for biodiversity is subjacent to the work of characterization of beekeeping activities, which in turn contribute, together with the valorization of endemic varieties of plant foods, for the development of local communities. Finally, the short circuits and local food markets have a decisive role in the preservation and enhancement of rural economies.info:eu-repo/semantics/publishedVersio
Analyzing the Adoption, Cropping Rotation, and Impact of Winter Cover Crops in the Mississippi Alluvial Plain (MAP) Region through Remote Sensing Technologies
This dissertation explores the application of remote sensing technologies in conservation agriculture, specifically focusing on identifying and mapping winter cover crops and assessing voluntary cover crop adoption and cropping patterns in the Arkansas portion of the Mississippi Alluvial Plain (MAP). In the first chapter, a systematic review using the PRISMA methodology examines the last 30 years of thematic research, development, and trends in remote sensing applied to conservation agriculture from a global perspective. The review uncovers a growing interest in remote sensing-based research in conservation agriculture and emphasizes the necessity for further studies dedicated to conservation practices. Among the 68 articles examined, 94% of studies utilized a pixel-based classification method, while only 6% employed an object-based approach. The analysis also revealed a thematic shift over time, with tillage practices being extensively studied before 2005, followed by a focus on crop residue from 2004 to 2012. From 2012 to 2020, there was a renewed emphasis on cover crops research. These findings highlight the evolving research landscape and provide insights into the trends within remote sensing-based conservation agriculture studies. The second chapter presents a methodological framework for identifying and mapping winter cover crops. The framework utilizes the Google Earth Engine (GEE) and a Random Forest (RF) classifier with time series data from Landsat 8 satellite. Results demonstrate a high classification accuracy (97.7%) and a significant increase (34%) in model-predicted cover crop adoption over the study period between 2013 and 2019. Additionally, the study showcases the use of multi-year datasets to efficiently map the growing season\u27s length and cover crops\u27 phenological characteristics. The third chapter assesses the voluntary adoption of winter cover crops and cropping patterns in the MAP region. Remote sensing technologies, USDA-NRCS government cover crop data sources, and the USDA Cropland Data Layer (CDL) are employed to identify cover crop locations, analyze county-wide voluntary adoption, and cropping rotations. The result showed a 5.33% increase in the overall voluntary adoption of cover crops in the study region between 2013 and 2019. The findings also indicate a growing trend in cover crop adoption, with soybean-cover crop rotations being prominent. This dissertation enhances our understanding of the role of remote sensing in conservation agriculture with a particular focus on winter cover crops. These insights are valuable for policymakers, stakeholders, and researchers seeking to promote sustainable agricultural practices and increased cover crop adoption. The study also underscores the significance of integrating remote sensing technologies into agricultural decision-making processes and highlights the importance of collaboration among policymakers, researchers, and producers. By leveraging the capabilities of remote sensing, it will enhance conservation agriculture contribution to long-term environmental sustainability and agricultural resilience. Keywords: Remote sensing technologies, Conservation agriculture, Winter cover crops, Voluntary adoption, Cropping patterns, Sustainable agricultural practice
XVI Agricultural Science Congress 2023: Transformation of Agri-Food Systems for Achieving Sustainable Development Goals
The XVI Agricultural Science Congress being jointly organized by the National Academy of Agricultural Sciences
(NAAS) and the Indian Council of Agricultural Research (ICAR) during 10-13 October 2023, at hotel Le Meridien,
Kochi, is a mega event echoing the theme “Transformation of Agri-Food Systems for achieving Sustainable
Development Goals”. ICAR-Central Marine Fisheries Research Institute takes great pride in hosting the XVI ASC,
which will be the perfect point of convergence of academicians, researchers, students, farmers, fishers, traders,
entrepreneurs, and other stakeholders involved in agri-production systems that ensure food and nutritional security
for a burgeoning population.
With impeding challenges like growing urbanization, increasing unemployment, growing population, increasing
food demands, degradation of natural resources through human interference, climate change impacts and natural
calamities, the challenges ahead for India to achieve the Sustainable Development Goals (SDGs) set out by the
United Nations are many. The XVI ASC will provide an interface for dissemination of useful information across all
sectors of stakeholders invested in developing India’s agri-food systems, not only to meet the SDGs, but also to
ensure a stable structure on par with agri-food systems around the world.
It is an honour to present this Book of Abstracts which is a compilation of a total of 668 abstracts that convey the
results of R&D programs being done in India. The abstracts have been categorized under 10 major Themes – 1.
Ensuring Food & Nutritional Security: Production, Consumption and Value addition; 2. Climate Action for Sustainable
Agri-Food Systems; 3. Frontier Science and emerging Genetic Technologies: Genome, Breeding, Gene Editing;
4. Livestock-based Transformation of Food Systems; 5. Horticulture-based Transformation of Food Systems; 6.
Aquaculture & Fisheries-based Transformation of Food Systems; 7. Nature-based Solutions for Sustainable AgriFood Systems; 8. Next Generation Technologies: Digital Agriculture, Precision Farming and AI-based Systems; 9.
Policies and Institutions for Transforming Agri-Food Systems; 10. International Partnership for Research, Education
and Development.
This Book of Abstracts sets the stage for the mega event itself, which will see a flow of knowledge emanating
from a zeal to transform and push India’s Agri-Food Systems to perform par excellence and achieve not only the
SDGs of the UN but also to rise as a world leader in the sector. I thank and congratulate all the participants who
have submitted abstracts for this mega event, and I also applaud the team that has strived hard to publish this
Book of Abstracts ahead of the event. I wish all the delegates and participants a very vibrant and memorable
time at the XVI ASC
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