This issue emphasizes the important role of technology in agricultural development and delves further into how to address the challenges faced by agriculture. The rapid growth of technology and industry has a significant impact on the advancement of contemporary agriculture. For example, by applying remote sensing technology, people can precisely comprehend rice planting conditions and provide relevant information to those working in associated industries; strategic use of control and automation systems has the potential to increase agricultural output. The application of hybridization technology is the focus of this issue. This issue delves into the utilization of interspecific hybridization of cotton plants to improve resistance to wilt disease, as well as the successes, challenges, and future possibilities of small-scale livestock and poultry genetic improvement through hybridization in Africa. Furthermore, climate change has a substantial impact on agriculture, and one article in this issue investigates how to establish appropriate policies to mitigate the negative effects of climate change on agriculture. In short, modern agriculture is inextricably linked to technology, and actively and properly employing technology can promote the sound growth of agriculture. This journal always welcomes submissions on modern agricultural technology.
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Moch Rafli Kusoiry, Lalu Muhamad Jaelani, Hartanto Sanjaya
Adv. Mod. Agric.
2024
,
5(2);
262 Views
Abstract
Remote sensing technology has increasingly emerged as a potent tool for precision agriculture, particularly in facilitating the mapping and monitoring of crops on a large scale. An application of this technology is the identification of different types of rice by analyzing the pixels acquired in satellite images. Regrettably, the pixels in the image have been mixed from different recorded items. Therefore, they have the potential to influence the outcome of the identification. An effective approach to addressing this problem is to employ the linear spectral unmixing (LSU) technique. The LSU approach quantifies the ratio of pure objects in every pixel of an image by utilizing the spectral value associated with the endmember of the rice variety. The investigation was carried out in the Karangjati District during the generative stage (70 ± DAP) of the rice planting season. The data indicates that the dominant variety is Inpari 32 HDB. The data validation tests, which involved the use of a confusion matrix and Kappa analysis, resulted in an overall accuracy rate of 85.48% and a Kappa analysis score of 70.6%.
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by
Gulnoza Toshpulatova, Sayfulla Boboyev, Shaxzoda Muxammadiyeva
Adv. Mod. Agric.
2024
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5(2);
73 Views
Abstract
In the article, the results of determining the degree of tolerance to wilt disease in the wilt background of hybrid families obtained using the method of interspecies complex hybridization in the cotton plant are analyzed. In the F2–F4 generations of interspecies complex hybrids, a large-scale process of separation according to the sign of tolerance to wilt disease takes place, and among the hybrids, plants that are not damaged by wilt disease, partially damaged plants, and severely damaged plants are separated. With this in mind, it was confirmed that it is possible to isolate lines and varieties with different levels of wilt damage from complex hybrid combinations of interspecies with different genomes by purposefully conducting selection work by the breeder. A number of wilt disease-tolerant families compared to control cultivars have been isolated and are recommended for use as a starting source in genetic selection studies.
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by
Never Assan, Enock Muteyo, Edmore Masama, Takudzwa Mafigu, Tinashe Mujati
Adv. Mod. Agric.
2024
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5(2);
242 Views
Abstract
African animal genetic resources are diverse and have been the subject of crossbreeding for decades to improve local livestock and poultry populations. However, the literature on crossbreeding performance has been inconsistent, with many projects failing due to various reasons. This has led to mixed support and criticism for crossbreeding in small-scale animal agriculture. The review examines the achievements, problems, and future prospects for livestock and poultry genetic improvement through crossbreeding in Africa’s small-scale animal agriculture. Community-based Breeding Practices (CBBP) can be seen as a community livestock development strategy that mobilizes local animal genetic resources and boosts smallholder livestock producers’ ability to collaborate in resource-scarce communities. Genome sequencing is seen as the future cornerstone of promoting crossbreeding in Africa, but it should be based on consideration of the socioeconomic context of small-scale animal husbandry and local livestock production conditions. Smallholder farmers, who are the major custodians of local animal biodiversity, have faced challenges such as genotype and environmental interaction, lack of funding, poor laws, and lack of farmer participation. In conclusion, the review highlights the importance of phenomics and genomic prediction in improving animal genetic resources in Africa, but it also emphasizes the need for further research and development in this area. The study suggests that modern breeding technologies (genomics and phenomics) and training of smallholder livestock farmers in improved animal husbandry management practices can be used to enhance food and nutrition security for African rural households. This review examines the effects of crossbreeding through the decades on small-scale livestock farming in Africa, including positive and negative outcomes as well as future implications.
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by
Suresh Chand Rai, Prem Sagar Chapagain, Shobha Shrestha, Linshan Liu, Basanta Paudel, Yili Zhang, Jianzhong Yan, Md. Nurul Islam
Adv. Mod. Agric.
2024
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5(2);
218 Views
Abstract
India’s agriculture and fishing sectors confront significant challenges due to climate change because of its distinctive geographical location and predominantly agrarian economy, highlighting the urgent need for institutional frameworks and effective adaptation strategies. This study delves into the current state of institutional structures and policies aimed at climate change adaptation within these key sectors in India. Through an exhaustive analysis of literature, official reports, and policy documents, the research evaluates the policies and interventions implemented to mitigate the impacts of climate change on agriculture and fisheries. Several policies are in place to facilitate the planning, establishment, and implementation of adaptation programs at the national and regional scales in the country. However, given India’s broad geographical size and varied socio-cultural settings, the adaptation requirements of diverse sectors and susceptible populations are still not sufficiently recognized and addressed. Key areas under scrutiny include crop diversification, water management techniques, technological advancements, and community-based adaptation approaches. Furthermore, the study evaluates the effectiveness of existing institutional arrangements, including governmental bodies, academic institutions, and community organizations, in fostering climate resilience across different domains. By synthesizing insights from diverse sources, this research aims to offer valuable perspectives on the institutional dynamics and policy landscape shaping climate change adaptation efforts in India’s agriculture and fisheries sectors to build resilience and sustainability. This research paper highlights some of the evolving as well as existing adaptation requirements and suggests how new research, policy, and practice engagements could meet these requirements.
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by
Ahamada Zziwa, Joshua Wanyama, David Matsapwe, Simon Savio Kizito, Tadeo Mibulo, Emmanuel Baidhe
Adv. Mod. Agric.
2024
,
5(2);
117 Views
Abstract
This review paper explores the potential of automation and control systems in addressing critical challenges faced by agriculture in developing countries, with a specific focus on their applicability in Uganda. The study aims to comprehensively evaluate the role of these systems in enhancing agricultural practices, including the identification of adoption challenges, assessment of potential benefits, investigation of system effectiveness, and provision of evidence-based recommendations. The findings reveal that while there are notable obstacles such as high initial costs, limited technical expertise, and database constraints, there are also substantial opportunities, particularly through the integration of supportive information and communication technology (ICT) strategies and policies. Automation has demonstrated its effectiveness in various agricultural tasks, from mechanized tractors to food processing and livestock farming, offering promising prospects for value addition, irrigation, hydroponics, aquaponics, greenhouse farming, and livestock management. Despite the current modest adoption rates, the study provides compelling evidence supporting the need for increased utilization of automation and control systems in Uganda’s agriculture. Collaboration among stakeholders, formulation of supportive policies, development of comprehensive databases, prioritization of tailored ICT infrastructure, and facilitation of knowledge sharing are recommended to overcome challenges and harness the transformative capability of automation. In conclusion, embracing automation holds the key to enhancing the sustainability and food security of Uganda’s agriculture, offering valuable insights for policymakers and stakeholders in guiding the sector’s future advancement.
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