Zobrazeno 1 - 10
of 6 354
pro vyhledávání: '"smart agriculture"'
Autor:
Prodipto Bishnu Angon, Pujan Aich
Publikováno v:
Turkish Journal of Agriculture: Food Science and Technology, Vol 12, Iss 10, Pp 1858-1864 (2024)
The production of agriculture has undergone new modifications as a result of agricultural technologies. These not only boost agricultural output but may also significantly raise the caliber of produced food, cut labor expenses, boost farmers' incomes
Externí odkaz:
https://doaj.org/article/aabab4678e32487e8bce7a02a3f354af
Publikováno v:
Discover Sustainability, Vol 5, Iss 1, Pp 1-23 (2024)
Abstract Climate disruption today represents a threat to the environment and sustainable development. Climate-Smart Agriculture (CSA) is an appropriate adaptation approach to climate change. It allows producers to improve their production and act on
Externí odkaz:
https://doaj.org/article/6dabbd598d4940a987ba351ae113d4c8
Publikováno v:
Ecological Engineering & Environmental Technology, Vol 25, Iss 10, Pp 216-229 (2024)
High need for precision agriculture today has been associated with the completeness of the data available. The application of smart technology becomes the main alternative for fulfilling incomplete data and predicting future data. This paper presents
Externí odkaz:
https://doaj.org/article/7dd85d9b819149988806a5fdfaef8002
Publikováno v:
Journal of Information Systems and Informatics, Vol 6, Iss 3, Pp 2022-2036 (2024)
This research proposes an IoT-based system for classifying plant suitability using pH data and soil humidity parameters. The system utilizes Run-Length Encoding (RLE) to compress sensor data, which is transmitted to a database server via the Esp8266
Externí odkaz:
https://doaj.org/article/654a4b1536374a96bec3cb0090a6c010
Publikováno v:
Research in Plant Disease, Vol 30, Iss 3, Pp 256-267 (2024)
We have developed FBcastS (Fire Blight Forecasting System), a cloud-based information system that leverages the K-Maryblyt forecasting model. The FBcastS provides an optimal timing for spraying antibiotics to prevent flower infection caused by Erwini
Externí odkaz:
https://doaj.org/article/f492c8b6768c427a8b9d2397d05b5eb6
Publikováno v:
Discover Sustainability, Vol 5, Iss 1, Pp 1-21 (2024)
Abstract Establishing a decision-making scheme for multiple land use types in a shrinking society is an urgent and persistent task. In particular, residents and governments face the complexity of cross-sectoral visions over concerned landscapes. This
Externí odkaz:
https://doaj.org/article/39ccd3a26a8a44e9a505656b5f6b6497
Autor:
Géant B. Chuma, Jean M. Mondo, Joost Wellens, Jackson M. Majaliwa, Anthony Egeru, Espoir M. Bagula, Prince Baraka Lucungu, Charles Kahindo, Gustave N. Mushagalusa, Katcho Karume, Serge Schmitz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract It is widely predicted that climate change’s adverse effects will intensify in the future, and along with inadequate agricultural practices, settlement development, and other anthropic activities, could contribute to rapid wetland degradat
Externí odkaz:
https://doaj.org/article/e01de1f95f0347db88c75b72b28226bd
Publikováno v:
Artificial Intelligence in Agriculture, Vol 13, Iss , Pp 1-17 (2024)
In recent years, smart agriculture has gained strength due to the application of industry 4.0 technologies in agriculture. As a result, efforts are increasing in proposing artificial vision applications to solve many problems. However, many of these
Externí odkaz:
https://doaj.org/article/06fc893f604947c89136e325a65eb5d5
Publikováno v:
智慧农业, Vol 6, Iss 4, Pp 116-127 (2024)
SignificanceBuilding the agricultural new quality productivity is of great significance. It is the advanced quality productivity which realizes the transformation, upgrading, and deep integration of substantive, penetrating, operational, and media fa
Externí odkaz:
https://doaj.org/article/ce247c3f172c4ba9a68c5d74f2f7f64f
Publikováno v:
Clean Technologies, Vol 6, Iss 2, Pp 784-801 (2024)
This investigation presents a new approach for evaluating soil organic carbon (SOC) content in farming soils using a photocatalytic chemical oxygen demand (PeCOD) analyzer combined with geographic information system (GIS) technology for spatial analy
Externí odkaz:
https://doaj.org/article/ac7f8f8b513547baad98ed81730db80d