Technological advances and the use of IoT in monitoring Diaphorina citri in citrus cultivation DOI Creative Commons
Eduardo Goiano da Silva, Franciely da Silva Ponce, Sílvia Graciele Hülse de Souza

и другие.

Brazilian Journal of Biology, Год журнала: 2025, Номер 85

Опубликована: Янв. 1, 2025

Abstract The Asian citrus psyllid, Diaphorina citri, is a pest of great relevance to the industry, acting as vector for bacterium Candidatus Liberibacter asiaticus (CLas), responsible disease known Huanglongbing (HLB) or greening. distribution D. citri covers tropical and subtropical regions, representing significant threat global production causing economic losses. Transmission CLas occurs when psyllid feeds on phloem plants, spreading severely. Therefore, management essential health groves, understanding its habitat dispersal patterns crucial adequate control. Internet Things (IoT) technology promising tool in agriculture, enabling real-time monitoring control systems that increase efficiency sustainability agricultural practices. integration IoT facilitates early detection continuous their populations, improving response outbreaks optimizing use insecticides. Systems based AIoT (Artificial Intelligence Things) computer vision have demonstrated high accuracy identifying occurring pests, allowing fast efficient management. These technological advances, combined with biological strategies traditional methods such insecticides physical traps, create multifaceted approach Integrating data from satellite images, field sensors, machine learning algorithms makes developing more comprehensive predictive conditions possible. This helps mitigate impacts HLB promotes innovative, resilient farming Smart supported by technologies, offers path meet challenges modern production, combining monitoring, innovative strategies, analytics sustainable system, future challenges.

Язык: Английский

Quantifying the Performance of European Agriculture Through the New European Sustainability Model DOI Creative Commons
L. Georgescu, Nicoleta Bărbuță‐Mișu, Monica Laura Zlati

и другие.

Agriculture, Год журнала: 2025, Номер 15(2), С. 210 - 210

Опубликована: Янв. 18, 2025

The study aims to assess the performance of European sustainable agriculture through a new model agricultural sustainability, addressing significant gap identified in literature: lack systematic framework integrating economic, environmental, and resource efficiency dimensions use context EU Common Agricultural Policy Green Deal. research develops four synthetic indicators: ISPAS (Index Sustainable Productivity), IREA Reduced Emissions from Agriculture), ISAC Combined Sustainability), IESA Land Area Efficiency), each reflecting complementary aspects performance. methodology is based on an econometric linear dynamic Arellano–Bond model, which allows analysis temporal relationships between indicators sustainability performance, capturing inertia effects structural dynamics sector. modeling provides robust approach capture interdependencies emission reductions, mainstreaming, land efficiency. results indicate superior quality measurement by applying this integrated framework, highlighting integration economic environmental dimensions, optimization use. also valuable policy implications, suggesting concrete directions for adapting policies particularities Member States. By methodological innovative indicators, contributes thorough understanding practical tool underpinning Union.

Язык: Английский

Процитировано

4

AI and Related Technologies in the Fields of Smart Agriculture: A Review DOI Creative Commons

Fotis Assimakopoulos,

Costas Vassilakis, Dionisis Margaris

и другие.

Information, Год журнала: 2025, Номер 16(2), С. 100 - 100

Опубликована: Фев. 2, 2025

The integration of cutting-edge technologies—such as the Internet Things (IoT), artificial intelligence (AI), machine learning (ML), and various emerging technologies—is revolutionizing agricultural practices, enhancing productivity, sustainability, efficiency. objective this study is to review literature regarding development evolution AI well other technologies in fields Agriculture they are developed transformed by integrating above technologies. areas examined open field smart farming, vertical indoor zero waste agriculture, precision livestock greenhouses, regenerative agriculture. This paper links current research, technological innovations, case studies present a comprehensive these being context for benefit farmers consumers general. By exploring practical applications future perspectives, work aims provide valuable insights address global food security challenges, minimize environmental impacts, support sustainable goals through application new

Язык: Английский

Процитировано

4

Integration of Remote Sensing and Machine Learning for Precision Agriculture: A Comprehensive Perspective on Applications DOI Creative Commons
Jun Wang,

Yanlong Wang,

Guang Li

и другие.

Agronomy, Год журнала: 2024, Номер 14(9), С. 1975 - 1975

Опубликована: Сен. 1, 2024

Due to current global population growth, resource shortages, and climate change, traditional agricultural models face major challenges. Precision agriculture (PA), as a way realize the accurate management decision support of production processes using modern information technology, is becoming an effective method solving these In particular, combination remote sensing technology machine learning algorithms brings new possibilities for PA. However, there are relatively few comprehensive systematic reviews on integrated application two technologies. For this reason, study conducts literature search Web Science, Scopus, Google Scholar, PubMed databases analyzes in PA over last 10 years. The found that: (1) because their varied characteristics, different types data exhibit significant differences meeting needs PA, which hyperspectral most widely used method, accounting more than 30% results. UAV offers greatest potential, about 24% data, showing upward trend. (2) Machine displays obvious advantages promoting development vector algorithm 20%, followed by random forest algorithm, 18% methods used. addition, also discusses main challenges faced currently, such difficult problems regarding acquisition processing high-quality model interpretation, generalization ability, considers future trends, intelligence automation, strengthening international cooperation sharing, sustainable transformation achievements. summary, can provide ideas references combined with promote

Язык: Английский

Процитировано

17

Exploring the Role of Nature-based Solutions and Emerging Technologies in Advancing Circular and Sustainable Agriculture: An Opinionated Review for Environmental Resilience DOI Creative Commons
Eliakira Kisetu Nassary

Cleaner and Circular Bioeconomy, Год журнала: 2025, Номер unknown, С. 100142 - 100142

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

Nanotechnology in Agriculture: A Review on Precision Farming and Sustainable Crop Production DOI
Neelam Thakur, Ajar Nath Yadav

BioNanoScience, Год журнала: 2025, Номер 15(2)

Опубликована: Фев. 19, 2025

Язык: Английский

Процитировано

1

Edible Mushrooms DOI

Vishal Shridhar Moger,

Harshitha Gujaran,

Shreya Gowda

и другие.

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 349 - 376

Опубликована: Март 14, 2025

Edible mushrooms are termed as superfoods owing to their exceptional nutritional profile. This chapter highlights the dietary benefits of edible derived from high content protein, fiber, complex carbohydrates, vitamins, minerals, and antioxidants. It details health bioactive compounds in mushrooms, which include immune modulation, roles chronic disease management, reducing inflammation. In addition, this explores various ways might be exploited food processing because culinary versatility functional properties. Focus is laid on environmentally sustainable aspects mushroom farming, requires little water land resources promotes waste recycling. discusses challenges associated with cultivation future research trends improve enhancement. Overall, provides a comprehensive overview highlighting benefits, ecofriendly nature, directions field.

Язык: Английский

Процитировано

1

Applications of machine learning and deep learning in agriculture: A comprehensive review DOI Creative Commons
Muhammad Waqas, Adila Naseem, Usa Wannasingha Humphries

и другие.

Green Technologies and Sustainability, Год журнала: 2025, Номер unknown, С. 100199 - 100199

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1

Investigation of Emerging Technologies in Agriculture: An In-depth Look at Smart Farming, Nano-agriculture, AI, and Big Data DOI
Christopher Selvam Damian, Yuvarajan Devarajan

Journal of Biosystems Engineering, Год журнала: 2025, Номер unknown

Опубликована: Апрель 4, 2025

Язык: Английский

Процитировано

1

Sustainable Water Management in Horticulture: Problems, Premises, and Promises DOI Creative Commons
Carla Ferreira, Pedro R. Soares, Rosa Guilherme

и другие.

Horticulturae, Год журнала: 2024, Номер 10(9), С. 951 - 951

Опубликована: Сен. 6, 2024

Water is crucial for enduring horticultural productivity, but high water-use requirements and declining water supplies with the changing climate challenge economic viability, environmental sustainability, social justice. While scholarly literature pertaining to management in horticulture abounds, knowledge of practices technologies that optimize use scarce. Here, we review scientific relating crops, impacts on resources, opportunities improving water- transpiration-use efficiency. We find crops vary widely, depending crop type, development stage, agroecological region, investigations hitherto have primarily been superficial. Expansion sector has depleted polluted resources via overextraction agrochemical contamination, extent significance such issues are not well quantified. contend innovative irrigation can improve tactical mitigate impacts. Nature-based solutions horticulture—mulching, organic amendments, hydrogels, like—alleviate needs, information their effectiveness across production systems regions limited. Novel recycled sources (e.g., treated wastewater, desalination) would seem promising avenues reducing dependence natural detrimental human health trade-offs if managed. Irrigation including partial root-zone drying regulated deficit evoke remarkable improvements efficiency, require significant experience efficient implementation. More advanced applications, IoT AI sensors, big data, data analytics, digital twins), demonstrable potential supporting smart (focused scheduling) precision (improving spatial distribution). adoption sustainability increasing, application within industry as a whole remains its infancy. Further research, development, extension called enable successful adaptation change, sustainably intensify food security, align other Sustainable Development Goals.

Язык: Английский

Процитировано

6

Precision Agriculture: A Bibliometric Analysis and Research Agenda DOI Creative Commons
Abderahman Rejeb, Karim Rejeb, Alireza Abdollahi

и другие.

Smart Agricultural Technology, Год журнала: 2024, Номер unknown, С. 100684 - 100684

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

3