Evaluating Agri-Environmental Indicators for Land Use Impact in Baltic Countries Using Multi-Criteria Decision-Making and Eurostat Data DOI Creative Commons
Dalia Štreimikienė, Ahmad Bathaei, Justas Štreimikis

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2238 - 2238

Published: Dec. 20, 2024

The present research assesses the agri-environmental sustainability of Baltic states, namely Lithuania, Latvia, and Estonia, while analyzing agricultural biodiversity, greenhouse gas emissions, land utilization, energy use, water management. For purpose these evaluations ranking, we employ Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), applied a set indicators (AES) collected from various sources, including Eurostat similar databases. This knowledge is necessary help policymakers or managers who are interested in developing more sustainable agriculture region. That why, according findings, highest AES value attributed followed Lithuania Estonia. Conservation methods that were essential included High-Nature-Value farmland, bird populations habitats, organic farming, water. It emphasizes use Multi-Criteria Decision Making tools combining both qualitative quantitative data form general framework assessment. Another goal this fill gap literature regarding lack attention paid area general. This, therefore, suggests assessing strengths weaknesses nation-states provides critical information can inform change management practices, nutrition practices agriculture, ability natural world adapt. findings will be useful governmental leaders individuals involved need find balance between economic growth conservation, as well scholars working improve international measures

Language: Английский

AI-Driven Personalized Nutrition Apps and Platforms for Enhanced Diet and Wellness DOI
G. Krishna Prasad, Mrutyunjay Padhiary,

Azmirul Hoque

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 125 - 158

Published: Feb. 13, 2025

Health is essential for general well-being and productivity, in order to properly meet dietary needs prevent lifestyle-related disorders, creative solutions such as personalized nutrition applications are required. Nutrition apps driven by artificial intelligence (AI) provide individualized nutritional health solutions. These track intake, physical activity, parameters using data-driven insights, sophisticated algorithms, user-centric design. Through gamification, voice assistants, chatbots, AI promotes customer involvement. In addition encouraging preventative healthcare, these systems can aid the prevention of obesity, malnutrition, chronic diseases. However, there still obstacles data privacy, algorithmic bias, legal concerns, validation databases. For precise dependable answers, cooperation between engineers, nutritionists, medical specialists essential.

Language: Английский

Citations

2
Sustainable Water Management Practices in Agriculture: The Case of East Africa DOI Creative Commons
Meseret Dawit Teweldebrihan, Megersa Olumana Dinka

Encyclopedia, Journal Year: 2025, Volume and Issue: 5(1), P. 7 - 7

Published: Jan. 10, 2025

This study dives into the essential issue of sustainable water management techniques in East Africa. Recognizing as a key component agricultural development, highlights importance complete approach that takes account technological, socio-economic, and environmental issues. A detailed, comprehensive review 109 scientific research articles published between 1993 2024 was conducted to acquire thorough grasp current resource in-depth investigation sought uncover major regional trends, challenges, opportunities management. Furthermore, evaluation aimed identify specific knowledge gaps impeding region’s implementation techniques. As Africa faces rising problems from climatic variability change, which have direct impact on availability output, need for policies becomes clear. The reveals significant previous research, including lack focus socio-economic consequences methods, gender dynamics, long-term assessments, indigenous integration, climate change adaptation. By highlighting these areas, emphasizes necessity future addressing developing more effective solutions

Language: Английский

Citations

1
Post-Harvest Technologies and Automation: Al-Driven Innovations in Food Processing and Supply Chains DOI Open Access
Biswa Ranjan Das,

Azmirul Hoque,

Subhra Saikat Roy

et al.

International Journal of Scientific Research in Science and Technology, Journal Year: 2025, Volume and Issue: 12(1), P. 183 - 205

Published: Jan. 26, 2025

The rapid advancements in artificial intelligence (AI) and automation are transforming post-harvest technologies, offering innovative solutions to improve food quality, safety, supply chain efficiency. This paper reviews the role of AI-driven innovations processing logistics, with a focus on automation, predictive analytics, quality control. AI such as machine learning, computer vision, IoT integration, optimizing processes like sorting, grading, packaging, microbial detection, reducing waste extending shelf life. Moreover, AI-powered robotics smart warehouses streamlining transportation inventory management, enhancing operational integration demand forecasting optimization is further improving traceability, minimizing disruptions, environmental impact. Despite promising potential, challenges data system cost barriers, regulatory concerns remain. future technologies presents opportunities for continued innovation, deep IoT, global scalability, pathways sustainable systems. concludes by discussing impact sector its potential drive more efficient, resilient, chains worldwide.

Language: Английский

Citations

0
Manure-Amended One-Year-Reclamation Promoted Soil Bacterial Phylotypic and Phenotypic Shifts in a Typical Coal-Mining Area DOI Creative Commons
Hongjuan Zhang,

Yanmeng Shang,

Shuning Bai

et al.

Microorganisms, Journal Year: 2025, Volume and Issue: 13(4), P. 699 - 699

Published: March 21, 2025

The initial variations in soil bacteria at the very beginning of reclamation still remains unclear. This study investigates impact on bacterial communities eight different treatments, including uncultivated land, unfertilized cultivation, chemical fertilizer, fertilizer + manure, manure and during short-term coal-mining soils. results showed that total nitrogen, available phosphorus, organic carbon, microbial biomass alkaline phosphatase activity were significantly increased all fertilization treatments compared to land (p < 0.05). All other than harbored higher activities urease, catalase, invertase cultivation structures manure-amended differed phylotypically shifted from oligotrophic Actinobacteria-dominant copiotrophic traits, accompanied with phenotypic succession enriching characteristics Gram-positive, biofilms formation, stress tolerance. co-occurrence network a simple network, indicating more productive soils no-manure treatments. Manure amendment, invertase, moisture key driving factors. Our underscores initialization promoted by reclamation.

Language: Английский

Citations

0
Sustainable strategic management: how speed and flexibility drive performance through innovation DOI
Samuel Koomson

Business Process Management Journal, Journal Year: 2025, Volume and Issue: unknown

Published: March 22, 2025

Purpose Different studies have found different results about how certain aspects of strategic agility – speed (SS) and flexibility (SF) affect companies’ performance. While some researchers show that SS SF fail to strengthen performance, others disagree. However, insufficient effort has been made resolve this conflict. This makes it difficult benchmark industry best practices. It also impedes academic progress in management. study seeks offer clarity the literature. introduces sustainable innovation as an intervener SS–sustainable performance SF–sustainable relationships. Design/methodology/approach Data were solicited from 587 managers across three industries mining, banking food & beverage emerging economy. The data analysed using partial least squares-structural equation modelling. Findings Sustainable partially intervened explained 25.322% 47.344% variance, respectively. accounted for nearly twice variance compared SS. findings revealed is more crucial than regarding implementation sustainability initiatives. Research limitations/implications Further research should introduce other mediators, such organisational ambidexterity. concept helps explore new opportunities simultaneously while exploiting existing capabilities. could moderating role leadership. Practical implications lessons large companies, small- medium-sized enterprises government are discussed. Originality/value paper solves a major theoretical puzzle field. explains why agile companies succeed struggle. key differentiator. shows traditional concepts like can be repurposed goals. improves our understanding which matter most outcomes. contributes field

Language: Английский

Citations

0
Vulnerability and Resilience to Climate Change in Riverine Ecosystems DOI
Mrutyunjay Padhiary

Advances in global change research, Journal Year: 2025, Volume and Issue: unknown, P. 57 - 88

Published: Jan. 1, 2025

Language: Английский

Citations

0
Machine Learning for Precision Agriculture and Crop Yield Optimization DOI

Prodipto Roy,

Mrutyunjay Padhiary,

Azmirul Hoque

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 189 - 234

Published: March 28, 2025

The swift advancement of machine learning (ML) has altered several industries, including agriculture, by providing innovative ways addressing complex challenges related to modern farming. This chapter discusses the use ML in precision emphasizing its capacity maximize crop output and improve agricultural practices. It studies supervised, unsupervised, reinforcement, deep methodologies evaluate extensive datasets derived from remote sensing technologies, soil sensors, climate data, equipment. Principal applications include predictive modeling for yield estimation, pest disease identification, health assessment, irrigation optimization, fertilization. also examines problems limits implementation data quality farmer acceptance.

Language: Английский

Citations

0
Precision Farming with Drone Sprayers: A Review of Auto Navigation and Vision-Based Optimization DOI
Subrat Jyoti Borah, Mrutyunjay Padhiary,

Laxmi Narayan Sethi

et al.

Journal of Biosystems Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: May 7, 2025

Language: Английский

Citations

0
Predatory birds in agroforestry: Dawn of a new era biological control from multitrophic interactions DOI Creative Commons
Tanmaya Kumar Bhoi, Ipsita Samal, B. Behera

et al.

Avian Research, Journal Year: 2025, Volume and Issue: unknown, P. 100260 - 100260

Published: May 1, 2025

Language: Английский

Citations

0
Community Management and Sustainability of Water Supply in a Rural Area of Guerrero, Mexico DOI Open Access
Mirella Saldaña Almazán, Ana Patricia Leyva Zuñiga,

Enrique Moreno Mendoza

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(10), P. 4633 - 4633

Published: May 19, 2025

Water scarcity in rural areas represents a structural challenge that undermines social well-being, public health, and ecological sustainability. This study analyzes the water supply system community of Las Ánimas, located municipality Tecoanapa, Guerrero (Mexico), with aim understanding dynamics access, use, community-based management resources. A participatory qualitative approach was employed, complemented by quantitative tools, including semi-structured interviews, fieldwork, workshops. The results reveal strong pressure on resources during dry season, contamination springs due to intensive agricultural practices, lack wastewater treatment infrastructure, organizational weaknesses within local committee. Nevertheless, identified key elements autonomous governance, such as rules, monitoring, shared responsibility resource. concludes strengthening governance—together territorially focused policies, environmental restoration, education—is essential ensuring long-term sustainability systems highly vulnerable contexts.

Language: Английский

Citations

0