Computers and Electronics in Agriculture, Год журнала: 2024, Номер 217, С. 108557 - 108557
Опубликована: Янв. 4, 2024
Язык: Английский
Agronomy for Sustainable Development, Год журнала: 2022, Номер 42(5)
Опубликована: Сен. 5, 2022
Abstract Cover crops (CCs) are a promising and sustainable agronomic practice to ameliorate soil health crop performances. However, the complex of relationships between CCs, soil, plant nutritional status has been little investigated. In this article, for first time, we critically review, under holistic approach, reciprocal CCs physical hydraulic properties, microbial, faunal communities, nutrient availability, in temperate climates. For each these topics, report current state understanding, influence CC management options suggested strategies, thus including both fundamental applied aspects. addition, provide detailed focus on history list main CCs. cropping is helpful improving physical, chemical, biological optimizing use efficiency reducing dependency external supplies nutrients. The interactions plants dynamic. Their understanding could be useful set up an appropriate site-specific fertilization. Management play key role developing effective context-specific cover cropping.
Язык: Английский
Процитировано
158
Renewable and Sustainable Energy Reviews, Год журнала: 2023, Номер 189, С. 113904 - 113904
Опубликована: Ноя. 5, 2023
Язык: Английский
Процитировано
134
Vehicles, Год журнала: 2022, Номер 4(3), С. 843 - 864
Опубликована: Авг. 15, 2022
This paper describes the development trends and prospects of green-energy-based off-road electric vehicles robots in agricultural sector. Today, agriculture sector faces several challenges, such as population growth, increasing energy demands, labor shortages, global warming. Increases demand cause many challenges worldwide; therefore, methods are suggested to achieve independence from fossil fuels reduce emissions. From a long-term point view, electrification renewable sources appear be an essential step for robotic smart farming Agriculture 5.0. The trend technological growth using fully autonomous seems one emerging technologies tackle increased food address environmental issues. vehicles, alternative green fuels, more energy-efficient hybrid electric, robotic, is improving work quality operator comfort. Furthermore, related digital advanced network communication, artificial intelligence techniques, blockchain discussed understand opportunities industry research.
Язык: Английский
Процитировано
84
Agricultural Water Management, Год журнала: 2022, Номер 263, С. 107447 - 107447
Опубликована: Янв. 6, 2022
Язык: Английский
Процитировано
78
Agriculture, Год журнала: 2023, Номер 13(2), С. 241 - 241
Опубликована: Янв. 19, 2023
A rapidly expanding field, sustainable agriculture aims to produce food and energy for people today future generations. The sustainability concept is different in every field; thus, the indicators are unique any area country. Sustainable contains three main dimensions: economic, environmental, social. has been focus of researchers past twenty-five years attracted much attention. Many tried identify these dimensions, but there a lack new research concerned with grouping all together. Moreover, will change year, so list needs be frequently updated. This study follows protocol SALSA (Search, Appraisal, Synthesis, Analysis) PRISMA (Preferred Reporting Items Systematic Reviews Meta-Analyses). Web Science (WoS) was used literature search. total 101 were found from previous studies social, environment, economic. In order measure most important agriculture, paper proposes an appropriate set indicators, as well providing papers analyzed by year publication, continent, topic.
Язык: Английский
Процитировано
62
Water, Год журнала: 2024, Номер 16(2), С. 264 - 264
Опубликована: Янв. 11, 2024
The evaluation of groundwater quality is crucial for irrigation purposes; however, due to financial constraints in developing countries, such evaluations suffer from insufficient sampling frequency, hindering comprehensive assessments. Therefore, associated with machine learning approaches and the water index (IWQI), this research aims evaluate Naama, a region southwest Algeria. Hydrochemical parameters (cations, anions, pH, EC), qualitative indices (SAR,RSC,Na%,MH,and PI), as well geospatial representations were used determine groundwater’s suitability study area. In addition, efficient forecasting IWQI utilizing Extreme Gradient Boosting (XGBoost), Support vector regression (SVR), K-Nearest Neighbours (KNN) models implemented. research, 166 samples calculate index. results showed that 42.18% them excellent quality, 34.34% very good 6.63% 9.64% satisfactory, 4.21% considered unsuitable irrigation. On other hand, indicate XGBoost excels accuracy stability, low RMSE (of 2.8272 high R 0.9834. SVR only four inputs (Ca2+, Mg2+, Na+, K) demonstrates notable predictive capability 2.6925 0.98738, while KNN showcases robust performance. distinctions between these have important implications making informed decisions agricultural management resource allocation within region.
Язык: Английский
Процитировано
39
Journal of Plant Growth Regulation, Год журнала: 2024, Номер unknown
Опубликована: Сен. 20, 2024
Язык: Английский
Процитировано
27
The Science of The Total Environment, Год журнала: 2024, Номер 923, С. 171343 - 171343
Опубликована: Март 2, 2024
Язык: Английский
Процитировано
25
Drones, Год журнала: 2024, Номер 8(11), С. 686 - 686
Опубликована: Ноя. 19, 2024
In the face of growing challenges in modern agriculture, such as climate change, sustainable resource management, and food security, drones are emerging essential tools for transforming precision agriculture. This systematic review, based on an in-depth analysis recent scientific literature (2020–2024), provides a comprehensive synthesis current drone applications agricultural sector, primarily focusing studies from this period while including few notable exceptions particular interest. Our study examines detail technological advancements systems, innovative aerial platforms, cutting-edge multispectral hyperspectral sensors, advanced navigation communication systems. We analyze diagnostic applications, crop monitoring mapping, well interventional like spraying drone-assisted seeding. The integration artificial intelligence IoTs analyzing drone-collected data is highlighted, demonstrating significant improvements early disease detection, yield estimation, irrigation management. Specific case illustrate effectiveness various crops, viticulture to cereal cultivation. Despite these advancements, we identify several obstacles widespread adoption, regulatory, technological, socio-economic challenges. particularly emphasizes need harmonize regulations beyond visual line sight (BVLOS) flights improve economic accessibility small-scale farmers. review also identifies key opportunities future research, use swarms, improved energy autonomy, development more sophisticated decision-support systems integrating data. conclusion, underscore transformative potential technology sustainable, productive, resilient agriculture global 21st century, highlighting integrated approach combining innovation, adapted policies, farmer training.
Язык: Английский
Процитировано
18
Agriculture, Год журнала: 2025, Номер 15(6), С. 582 - 582
Опубликована: Март 9, 2025
Agriculture 5.0 (Ag5.0) represents a groundbreaking shift in agricultural practices, addressing the global food security challenge by integrating cutting-edge technologies such as artificial intelligence (AI), machine learning (ML), robotics, and big data analytics. To adopt transition to Ag5.0, this paper comprehensively reviews role of AI, (ML) other emerging overcome current future crop management challenges. Crop has progressed significantly from early methods advanced capabilities marking notable leap precision agriculture. Emerging collaborative robots, 6G, digital twins, Internet Things (IoT), blockchain, cloud computing, quantum are central evolution. The also highlights how modern tools improving way we perceive, analyze, manage growth. Additionally, it explores real-world case studies showcasing application deep monitoring. Innovations smart sensors, AI-based communication systems driving next phase digitalization decision-making. addresses opportunities challenges that come with adopting emphasizing transformative potential these productivity tackling issues. Finally, is agriculture, highlight trends research needs multidisciplinary approaches, regional adaptation, advancements AI robotics. Ag5.0 paradigm towards management, fostering sustainable, data-driven farming optimize while minimizing environmental impact.
Язык: Английский
Процитировано
4