Agricultural Technology Management Research Articles

Motivational factors and constraints faced by beneficiary tribal farmers in obtaining benefits of agricultural technology management agency

Motivational factors and constraints faced by beneficiary tribal farmers in obtaining benefits of agricultural technology management agency

A study on knowledge and attitude of farmer towards agriculture technology management agency in Prayagraj district

A study on knowledge and attitude of farmer towards agriculture technology management agency in Prayagraj district

Assessing the impact of the agricultural technology management agency (ATMA) on information access challenges for beneficiaries in Tirunelveli district, Tamil Nadu

Assessing the impact of the agricultural technology management agency (ATMA) on information access challenges for beneficiaries in Tirunelveli district, Tamil Nadu

Crop Classification Combining Object-Oriented Method and Random Forest Model Using Unmanned Aerial Vehicle (UAV) Multispectral Image

The accurate and timely identification of crops holds paramount significance for effective crop management and yield estimation. Unmanned aerial vehicle (UAV), with their superior spatial and temporal resolution compared to satellite-based remote sensing, offer a novel solution for precise crop identification. In this study, we evaluated a methodology that integrates object-oriented method and random forest (RF) algorithm for crop identification using multispectral UAV images. The process involved a multiscale segmentation algorithm, utilizing the optimal segmentation scale determined by Estimation of Scale Parameter 2 (ESP2). Eight classification schemes (S1–S8) were then developed by incorporating index (INDE), textural (GLCM), and geometric (GEOM) features based on the spectrum (SPEC) features of segmented objects. The best-trained RF model was established through three steps: feature selection, parameter tuning, and model training. Subsequently, we determined the feature importance for different classification schemes and generated a prediction map of vegetation for the entire study area based on the best-trained RF model. Our results revealed that S5 (SPEC + GLCM + INDE) outperformed others, achieving an impressive overall accuracy (OA) and kappa coefficient of 92.76% and 0.92, respectively, whereas S4 (SPEC + GEOM) exhibited the lowest performance. Notably, geometric features negatively impacted classification accuracy, while the other three feature types positively contributed. The accuracy of ginger, luffa, and sweet potato was consistently lower across most schemes, likely due to their unique colors and shapes, posing challenges for effective discrimination based solely on spectrum, index, and texture features. Furthermore, our findings highlighted that the most crucial feature was the INDE feature, followed by SPEC and GLCM, with GEOM being the least significant. For the optimal scheme (S5), the top 20 most important features comprised 10 SPEC, 7 INDE, and 3 GLCM features. In summary, our proposed method, combining object-oriented and RF algorithms based on multispectral UAV images, demonstrated high classification accuracy for crops. This research provides valuable insights for the accurate identification of various crops, serving as a reference for future advancements in agricultural technology and crop management strategies.

Collaborative Governance In The Development of Malapari Plants as Biodiesel Feedstock (Analysis of Collaborative Governance Readiness)

The role of coal in energy supply is in line with the increasing demand for power plant construction in several regions driven by economic growth and income. The purpose of this study is to determine collaborative governance in the development of malapari plants as biodiesel feedstock. This research uses qualitative research to understand social phenomena with a normative legal approach that prioritizes literature studies, data collection activities from various literature both from libraries and other places. The results obtained are education and training to farmers on sustainable agricultural practices and natural resource management is also a precondition that must be done. This knowledge can help farmers adopt practices that support the sustainable growth of malapari plants. Effective pest and disease management strategies are needed to protect malapari plants from attacks that can reduce crop yields. The conclusion of this study is that training and education programs need to be expanded to increase farmers' understanding of sustainable agricultural practices, processing technology, and agrofuel management. This can help improve the quality and quantity of malapari crop yields. Socialization to the community regarding the benefits of developing malapari plants as biofuels and their positive impacts on the environment needs to be strengthened. Public acceptance is considered to be able to support the growth of this industry.

Impact of agricultural technology management agency (ATMA) on livelihood of farm women: A review

Impact of agricultural technology management agency (ATMA) on livelihood of farm women: A review

Monitoring and methods for seed quality assessment using modern technical means and digital technologies

The problems of the state and development of digitalization of agricultural technology management, problems in the development of digital innovations in agricultural enterprises and ways to solve them at the present stage are reviewed in the study, based on reviews of scientific publications by Russian scientists and information from Internet resources, examines. Development of geo-information for crop production: electronic maps of fields, equipment monitoring systems, complexes for designing technologies for crops growing, databases of conditions and functions of agricultural landscapes (books on the fields history), methods for seed quality assessment using modern tools and technologies have been introduced.

The Interdependence of Agricultural Technology Management Agency (ATMA) Beneficiaries' Competency Cluster through Unsupervised Learning on their Demographic and Socio-Economic Status in Sikkim

The Interdependence of Agricultural Technology Management Agency (ATMA) Beneficiaries' Competency Cluster through Unsupervised Learning on their Demographic and Socio-Economic Status in Sikkim

The Influence of Food Security Program Through Arts and Culture Towards Sustainable Development in Mahulu District, East Kalimantan Province

This research examines the implementation of the "Urip Kerimaan" Food Security Program in Mahulu Regency, East Kalimantan Province, since 2021. This program aims to increase food independence by focusing on developing modern and organic dry land agriculture. The program steps involve opening 500 hectares of new land in 50 villages, with capital support, community-based agricultural technology management, and outreach for farmers. This research uses a conceptual framework that includes aspects of the Food Security Program (X), Arts and Culture (Urip Kerimaan) (M), and Sustainable Development (Y). This research method involves collecting quantitative and qualitative data from 1009 farmers involved in the Food Security Program. The research results show that the Food Security Program has a positive and significant impact on Sustainable Development, as well as on Arts and Culture. The Food Security Program has made a positive contribution to increasing the area of rice fields, rice production and the number of farmers in villages. Apart from that, Arts and Culture are also closely related to this program, with increasing public interest in various cultural expressions such as music, crafts and dance, which then influences Sustainable Development.

Impact of Training on Modern Machineries and Improved Agricultural Technologies towards Cognitive Assessment of Farmers

In the era of fast changing technology, training has become an integrated part of investment for accelerating transfer of technology to people of all walks of life. The well-established network of organizations spread over the length and breadth of the country. The budget spent on training has tremendously increased over the past few years. with this background the study under taken at Trichy district, Tamil Nadu state of a country India by employing purposive sampling procedure. Agricultural Engineering College & Research Institute, Kumulur is one of the constituent colleges of Tamil Nadu Agricultural University located in Trichy. It is a pioneer institute in Tamil Nadu doing research on Agricultural Engineering technologies and Machinery. It is being chosen by the Tamil Nadu Govt. for state level capacity development trainings of farmers under the Agricultural Technology Management Agency and Agrl. Engineering Department (AED). Using simple random sampling procedure 10 farmers (trainees) were selected from 18 Districts of Tamil Nadu who were visited the institution during the study period. (180 sample size). The major objectives, as study of socioeconomic profile and knowledge assessment during pre and post training on Farm Machineries, Bio-energy, Agricultural Processing, Soil and Water Conservation, Drip irrigation and improved Agricultural sciences. Among 180 respondents, Majority of them were old age group (38.89 %) studied primary education (30.00 %) equally spread in marginal and small land holdings (around 75 %), possessed high level of farming experience (38.89 %) had medium level of extension agency contact (47.78 %), possessed medium level of Information seeking behaviour (53.89 %) with a medium level of Innovativeness (42.78 %). Knowledge test was assessed prior to training, among 180 respondents, Majority of farmers belonged to the medium level of knowledge category on all six categories and the after training knowledge test showed that the respondents belonged to low level were distributed in medium to high level of knowledge category and the medium level was elevated to high level category. The alternate hypothesis (H1)was proved through ‘ t’ test that there was a significant difference prevailed in the knowledge level of the respondents acquired through the trainings conducted on the recently developed Agrl. Technologies and modern machineries.

Fisheries Extension Interventions: A Review

Since India’s independence, several extension initiatives viz, production oriented programmes, area development initiatives, target group based service schemes and technology delivery mechanisms are implemented with the goal of agriculture and rural development. But most of these programmes failed to meet the needs as well as to utilise opportunities required for the majority of people (MANAGE, 2007). In order to tackle the different constraints as well as to meet the emerging challenges in our extension system, the Innovations in Technology Dissemination component of National Agricultural Technology Project (NATP) implemented Agricultural Technology Management Agency (ATMA) as a pilot project in a few states in India and later it spread to other states. A review of different kinds of extension strategies practised through ATMA is studied here and finally the different factors that can qualitatively contribute to an effective extension service delivery are looked upon.

Impact of Aatmanirbharta (Self-reliance) Agriculture and Sustainable Farming for the 21st Century to Achieve Sustainable Growth

Purpose: Indian Agriculture is 3rd most significant contributor to GDP and more than 50% of the population is dependent on agriculture, Indian agriculture accounts for15% of the country’s Gross Value added to the economy, and agriculture policies and schemes implemented by the government to increase the production, income level of farmers, employment, growth of the rural area, provide Digital agricultural stack in area of IoT, block chain, Geographic Information System(GIS) Kisan Drones, Big data, as per the report of NITI Aayog AI in agriculture would be worth $ 2.6 bn and Agri-Startups promote the circular economy with sustainable farming in the area of Millet, organic farming and vertical farming. It is an important pillar of sustainability and it is recognized as 7 out of 17 Sustainable development goals. Sustainable agriculture farming is the order of the 21st century in India which currently has 4.43 million organic farmers, according to the Economic Survey 2022-23, and a much-needed alternative to conventional for protecting the well-being of the farmers and Society, Economy and Ecosystem. India is Self-reliant in the production of Sugar, Rice, Wheat and food grains. Due to Government Schemes like Atmanirbhar, Minimum Support Price(MPS), PM Kisan Scheme, PM Kisan Samman Nidhi, Pradhan Mantri Fasal Bima Yojana (PMFBY), PM Gati-shakti, National Agriculture Market(e-NAM), Young –Entrepreneurs Accelerator Fund for Agri-Startups, Paramparagat Krishi Vikas Yojana (PMVY), establishing more Farmer producers Organizations(FPO), National Mission for Sustainable Agriculture (NMSA), Agricultural Technology Management Agency(ATMA), NABARD in providing finance for farm and non-farm sector, PM-PRANAAM for protecting mother earth. These initiatives are to increase the investment opportunities in agriculture, efficiency, and productivity in agriculture for doubling the income of the farmers. Design/Methodology/Approach: The research article is a descriptive study with exploratory research and secondary data collected from News articles, Journals, Government websites, Books, magazines, and reports for the analysis. Findings: Organic farming and sustainable agriculture is good for the economy and environment. The study reveals that in India Sustainable green revaluation in Agriculture Technology and moving towards achieving sustainable development goals (SDG). Type of Paper: Case Study.

The Effects of Agricultural Technology Progress on Agricultural Carbon Emission and Carbon Sink in China

The development mode of expanding agricultural scale will inevitably lead to an increase in agricultural carbon emissions but the impacts of agricultural technology progress on agricultural carbon emission and carbon sink are still not quite clear. This paper firstly discuss the definition of agricultural technology level. Then the estimating methods of agricultural technology, agricultural carbon emission and carbon sink are introduced. Based on the China’s provincial panel data with 31 province from 2000 to 2019, the indicators are calculated and statistically analysed. After that, the representativeness of the three secondary classifications of the agricultural technology is empirically checked. Panel data regression models especially the fixed effect model is employed to estimate the effects of agricultural technology level as well as its components on agricultural carbon emission and carbon sink. Results show that the agricultural carbon sink is approximately 10 times higher than agricultural carbon emission. Agricultural technology level in general has significant effect on the carbon emission rather than the carbon sink. Our suggestion is that (1) it is not necessary to worry about the agricultural carbon emission since the net effect of agriculture is carbon neutrality; (2) the development of agricultural production technology and agricultural management technology needs strong support, and the two need to develop coordinated.

Performance appraisal of factors contributing to the development of aquaculture

Recent declining trends in landings from capture fisheries and increasing population has raised serious concerns about the food and nutritional security of millions of people. Aquaculture is thus seen as a viable alternative to fill the gap in supply of fish. Extension services in aquaculture provide adequate support in furthering the development of the sector. The current study focuses on identification of key factors for the development of aquaculture sector in Kerala, India. A questionnaire based survey was carried out among 550 randomly selected respondents of five selected districts of Kerala, India. The respondents composed of beneficiaries of Agricultural Technology Management Agency (ATMA), staff of the Department of Fisheries (DoF), ATMA Governing Board (GB) members and ATMA Management Committee (MC) members. The major aquaculture development indicators closely associated with extension services were identified. The major indicators included extension contact, information acquisition, information dissemination, ATMA activities and expectations. Similarly sub indicators were identified and were used for the formulation of the performance evaluation matrix. Farmers’ score for extension contact (24.54%), farm information acquisition (49.23%) and expectation score (71.39%) indicated enough scope for improvement which implied lack of sufficient contact with resource persons, improper mechanism of obtaining information and high expectation from the extension service providers. Officials’ score on extension contact (36%), farm information dissemination score (49%) and expectation (53%) indicated low contact with the farmers, moderate information dissemination and fairly high level of expectation in providing efficient extension services to farmers. Officials’ score on farm information acquisition (62.5%) and ATMA activities (57.46%) showed that they need to vigorously conduct extension activities and acquire farm related information from traditional and modern mass media sources. The scores obtained for key performance appraisal indicators reflected scope for improvement in terms of the selected indicators. The findings could be utilised for developing improved policy measures for strengthening aquaculture extension system that could lead to a boom in aquaculture development.

The Evolution of Factors Influencing Green Technological Progress in Terms of Carbon Reduction: A Spatial-Temporal Tactic Within Agriculture Industries of China

The impacts of widespread carbon emission trends possessed tremendous pressure for global food security, sustainable development, and ecosystems. Several temporal and spatial patterns of green technology have been adopted to reduce carbon emissions in different regions of China. In China, agriculture industries may have colossal importance for reducing carbon emissions. On the basis of the data from 1998 to 2018, the study uses the heterogeneous stochastic frontier model to quantify the carbon emission reduction potential of agricultural green technology progress in eastern, central, and western regions of China by using the heterogeneous stochastic frontier model. We also analyze the coefficient of variation and its spatial and temporal evolution pattern of carbon intensity decline potential index and explore the potential factors related to the agriculture green technology progress of China. The finding of the study revealed that the carbon emission rate in the agriculture industry of China is very high, whereas adopting green technology is slower because of economic and policy-related factors—the carbon emission of green technological progress. In terms of spatial variations, the changes in various regions were consistent with the overall fluctuating rate compared with the state of another country, but an increasing trend has been traced within the “east-central-west” regions. The overall regional differences are gradually trending, but differences between regions mainly cause them. The increase in the structure of the agricultural agriculture industry, the level of labor, and the increase in administrative environmental regulations will weaken the obstacles to the carbon emission reduction potential of green technological progress. The increase in urbanization, the level of the agricultural economy, and economic and environmental regulations will increase the carbon emission reduction potential of green technological progress. It is necessary to actively promote exchanges and cooperation in green agricultural technology and advanced management concepts, accelerate the optimization and upgrading of the industrial structure, and achieve the goal of peaking carbon emissions through regional coordinated development. Regionally, the overall external environment and the level of green technology progress in the western region need to be improved in all respects. The central and eastern regions need to focus on combining different policy tools to transform them from hindrance to promotion.

Inter-collaboration Network among Institutional Actors of Agricultural Knowledge Information System (AKIS): A Comparative Study between Cooch Behar and Jalpaiguri Districts of West Bengal, India

Agricultural extension institutions play different roles at village level. There is always a need of inter-collaboration network between different institutions. Information exchange among these organizations is important for technology generation, information dissemination and adoption. So, it is imperative to know the inter collaboration network among the institutional actors which requires proper investigation and analysis. A few works were found in India on inter-collaboration network among the institutional actors of Agricultural Knowledge Information System (AKIS). The objective of the study was to find out the inter-collaboration network among institutional actors of AKIS of two different districts of West Bengal and their comparative evaluation. The data were collected from 84 respondents from 19 different institutions employing a random sampling technique. The data were analysed through UCINET 6 and Netdraw software. It was found from the study that Krishi Vigyan Kendra (KVK), Comprehensive Area Development Corporation (CADC), Agricultural line department through Assistant Director of Agriculture (ADA), Agricultural Technology Management Agency (ATMA) and Farmer Producers’ Organisations (FPO) play a pivotal role in this network. It was found also from the study that Cooch Behar district had stronger inter-collaboration network among its institution’s actors than Jalpaiguri district.

Enhancing Coffee Supply Chain towards Sustainable Growth with Big Data and Modern Agricultural Technologies

Modern agricultural technology management is nowadays crucial in terms of the economy and the global market, while food safety, quality control, and environmentally friendly practices should not be neglected. This review aims to give perspectives on applying big data analytic and modern technologies to increase the efficacy and effectiveness of the coffee supply chain throughout the process. It was revealed that several tools such as wireless sensor networks, cloud computing, Internet of Things (IoT), image processing, convolutional neural networks (CNN), and remote sensing could be implemented in and used to improve the coffee supply chain. Those tools could help in reducing cost as well as time for entrepreneurs and create a reliable service for the customer. It can be summarized that in the long term, these modern technologies will be able to assist coffee business management and ensure the sustainable growth for the coffee industry.

Impact of Agriculture Technology Management & Quality Improvement Centre (ATMQIC) in terms of income generation through crop production in Jaipur district of Rajasthan

Impact of Agriculture Technology Management & Quality Improvement Centre (ATMQIC) in terms of income generation through crop production in Jaipur district of Rajasthan

Knowledge level of beneficiary farmers of ATMQIC regarding cultivation practices of Rabi crop demonstrations in Jaipur district of Rajasthan

Agriculture Technology management Quality Improvement Center (ATMQIC)project of Rastriya Krishi Vikas Yojana was started in Shri Karan Narendra Agriculture University, Jobner to provide a ‘single window’system for farmers. Keeping in view the facts the study was conducted in three selected villages of Jaipur district of Rajasthan and 120 respondent farmers were selected from these three selected villages through proportional allocation to the size of the population.The knowledge of ATMQIC beneficiary farmers was measured and found that majority of respondents (74) of ATMQIC (61.67 %) belonged to middle level of knowledge categories, followed by high (15.83 %) and low ( 22.50%) knowledge categories of respondents of ATMQIC about rabi crop demonstrations. The Rabi crop wise findings of the study indicated that majority of respondents of ATMQIC were found to have adequate knowledge regarding cultivation techniques of Barley crop followed by wheat, mustard and fenugreek crops.

Incentive mechanism of different agricultural models to agricultural technology information management system

The agricultural information technology management system has a certain role in promoting the development of agriculture. However, there is a lack of persuasive reference on how the incentive mechanism of different agricultural models will affect the development of agricultural technology, or which aspect will be affected. This article aims to study the incentive mechanism of different agricultural models to the agricultural technology information management system. This article uses a single variable method to study the application status of agricultural information technology in different regions and different agricultural models, and the agricultural technology information under different incentive mechanisms. Compare the results achieved by the management system. By comparing and summarizing the related ecological models, applying the method of optimal ratio to classify the optimal agricultural model incentive mechanism. The research data of the agricultural technology information management system shows that farmers are restricted by different incentive mechanism constraints. In the selection of ecological agriculture and conventional agriculture, ecological agriculture is more preferred. Experimental data shows that the information management system can reflect the determinants of farmers' choice of different agricultural models and policy incentives, which have an important influence on the development of agriculture.