Results 11 to 20 of about 284,098 (310)

Digital agriculture informational resources in local and international databases

Бюллетень Почвенного института им. В.В. Докучаева, 2021
The article reviews informational resources on precision and digital agriculture in international cross-disciplinal and sectoral international and local databases.
M. S. Bunin, I. A. Kolenchenko, L. N. Pirumova   +2 more
doaj   +1 more source

Exploring the Impact of Digital Farming on Agricultural Engineering Practices

Biology and Life Sciences Forum, 2023
Digital farming has revolutionized agriculture by integrating technologies like IoT, AI, big data analytics, and remote sensing. This paper explores the impact of digital farming on agricultural engineering practices, highlighting the changes it has ...
Aamir Raza, Muhammad Adnan Shahid, Muhammad Safdar, Muhammad Abdur Rehman Tariq, Muhammad Zaman, Mehmood Ul Hassan   +5 more
doaj   +1 more source

A Reference Architecture for Enabling Interoperability and Data Sovereignty in the Agricultural Data Space

Information, 2023
Agriculture is one of the major sectors of the global economy and also a software-intensive domain. The digital landscape of agriculture is composed of multiple digital ecosystems, which together constitute an agricultural domain ecosystem, also referred
Rodrigo Falcão, Raghad Matar, Bernd Rauch, Frank Elberzhager, Matthias Koch   +4 more
doaj   +1 more source

Mind the Market Opportunity: Digital Energy Management Services for German Dairy Farmers

Agriculture, 2023
The adoption of farm management information systems (FMIS) is on the rise at German dairy farms given their benefits in supporting and automating decision-making processes.
Theresa Theunissen, Julia Keller, Heinz Bernhardt   +2 more
doaj   +1 more source

How Do Methods Assimilating Sentinel-2-Derived LAI Combined with Two Different Sources of Soil Input Data Affect the Crop Model-Based Estimation of Wheat Biomass at Sub-Field Level?

Remote Sensing, 2020
The combination of Sentinel-2 derived information about sub-field heterogeneity of crop canopy leaf area index (LAI) and SoilGrids-derived information about local soil properties might help to improve the prediction accuracy of crop simulation models at ...
Andreas Tewes, Holger Hoffmann, Manuel Nolte, Gunther Krauss, Fabian Schäfer, Christian Kerkhoff, Thomas Gaiser   +6 more
doaj   +1 more source

User-centred design of a digital advisory service: enhancing public agricultural extension for sustainable intensification in Tanzania [PDF]

, 2020
Sustainable intensification (SI) is promoted as a rural development paradigm for sub-Saharan Africa. Achieving SI requires smallholder farmers to have access to information that is context-specific, increases their decision-making capacities, and adapts ...
Daudi, Happy, Etten, Jacob van, Gevel, Jeske van de, Mgimiloko, Majuto Gaspar, Ortiz-Crespo, Berta, Quirós, Carlos F., Steinke, Jonathan   +6 more
core   +2 more sources

New Approaches for the Assimilation of LAI Measurements into a Crop Model Ensemble to Improve Wheat Biomass Estimations

Agronomy, 2020
The assimilation of LAI measurements, repeatedly taken at sub-field level, into dynamic crop simulation models could provide valuable information for precision farming applications. Commonly used updating methods such as the Ensemble Kalman Filter (EnKF)
Andreas Tewes, Holger Hoffmann, Gunther Krauss, Fabian Schäfer, Christian Kerkhoff, Thomas Gaiser   +5 more
doaj   +1 more source

The Revolution of Mobile Phone-Enabled Services for Agricultural Development (m-Agri Services) in Africa: The Challenges for Sustainability [PDF]

, 2020
The provision of information through mobile phone-enabled agricultural information services (m-Agri services) has the potential to revolutionise agriculture and significantly improve smallholder farmers’ livelihoods in Africa.
Dehnen-Schmutz, Katharina, Emeana, Ezinne Merianchris, Trenchard, Liz   +2 more
core   +1 more source

A Sensor-Based Decision Model for Precision Weed Harrowing

Agronomy, 2023
Weed harrowing is commonly used to manage weeds in organic farming but is also applied in conventional farming to replace herbicides. Due to its whole-field application, weed harrowing after crop emergence has relatively poor selectivity and may cause ...
Therese W. Berge, Frode Urdal, Torfinn Torp, Christian Andreasen   +3 more
doaj   +1 more source

Development and Evaluation of a Deep Learning Based System to Predict District-Level Maize Yields in Tanzania

Agriculture, 2023
Prediction of crop yields is very helpful in ensuring food security, planning harvest management (storage, transport, and labor), and performing market planning.
Isakwisa Gaddy Tende, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Naonobu Okazaki   +4 more
doaj   +1 more source