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Precision Agriculture and Global Food Security
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Authors
Abdalla, A
Adedeji, O
Aduramigba-Modupe, V
Akin, S
Alahe, M
Arnall, B
Arnold, S
Basran, P.S
Berghaus, A
Burkhart, S
Cambouris, A
Chang, Y
Claussen, J
Craker, B.E
Duchemin, M
Fenech, A
Frimpong, K
Gerth, S
Ghimire, B.P
Gummi, S
Guo, W
Hassan, M
Hufnagel, E
Javed, B
Karam, A
Karn, R
Kemeshi, J.O
Longchamps, L
Nieman, S.T
Noack, P
Ritchie, G
Sheng, V
Tevis, J
Weule, M
Topics
Precision Agriculture and Global Food Security
Type
Oral
Poster
Year
2024
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Filter results8 paper(s) found.

1. In-season Nitrogen Prediction Evaluation Using Airborne Imagery with AI Techniques in Commercial Potato Production

In modern agriculture, timely and precise nitrogen (N) monitoring is essential to optimize resource management and improve trade benefits. Potato (Solanum tuberosum L.) is a staple food in many regions of the world, and improving its production is inevitable to ensure food security and promote related industries. Traditional methods of assessing nitrogen are labour-intensive, time-consuming, and require subjective observations. To address these limitations, a combination of multispec... B. Javed, A. Cambouris, M. Duchemin, L. Longchamps, P.S. Basran, S. Arnold, A. Fenech, A. Karam

2. Securing Agricultural Imaging Data in Smart Agriculture: a Blockchain-based Approach to Mitigate Cybersecurity Threats and Future Innovations

Smart agriculture (SA) is a new technology that combines the Internet of Things (IoT) with a variety of smart devices, such as drones, unmanned ground vehicles (UGVs), and computer systems. The integration of technology improvements in SA has led to an increase in cybersecurity concerns, specifically pertaining to the protection of sensitive agricultural image data. It’s necessary to better understand SA network systems; establish stronger network structures; identify different types an... M. Alahe, S. Gummi, J.O. Kemeshi, Y. Chang

3. X-ray Imaging in Breeding and Harvesting Processes

The application of X-ray technology has a long tradition in different medical and technical fields. Compared to other sensor systems, its advantages lie in the capability to reveal structures within objects non-destructively. The analysis of X-ray images with image processing methods is applied for quality control, the detection of foreign objects or damages and other anomalies (e.g. in organs or bones). Until recently, the application of X-ray was mainly constrained to stationary application... M. Weule, E. Hufnagel, J. Claussen, A. Berghaus, S. Burkhart, P. Noack, S. Gerth

4. Emerging Megatrends of Sustainable Nutrient Management Research in Sub-saharan Africa

Africa has the 12th highest population growth rates in the world, which may double by 2050; and have bio-physical constraints which impinge on development, that need to be addressed. This ever-increasing human population demands corresponding increase in food production, where low nutrient use and management is a critical challenge. Most research conducted by African scientists are rarely used in decision-making, because they are not properly aligned with the needs of decision-makers due to w... V. Aduramigba-modupe, K. Frimpong

5. AgGateway Traceability API – The Foundation to Track Raw Agricultural Commodities

There is increasing demand for food traceability, ranging from consumers wanting to know where their food comes from (GMO, organic, climate-smart commodities), to manufacturers of agricultural inputs wanting to know the effectiveness of their products as used by farmers. Existing traceability requirements focus on the supply chain of goods packaged from their origin to retail grocery stores, with regulations provided by the Food Safety Modernization Act (FSMA) from the US Food and Drug Admini... S.T. Nieman, J. Tevis, B.E. Craker

6. Within Field Cotton Yield Prediction Using Temporal Satellite Imagery Combined with Deep Learning

Crop yield prediction at the field scale plays a pivotal role in enhancing agricultural management, a vital component in addressing global food security challenges. Regional or county-level data, while valuable for broader agricultural planning, often lacks the precision required by farmers for effective and timely field management. The primary obstacle in utilizing satellite imagery to forecast crop yields at the field level lies in its low temporal and spatial resolutions. This study aims t... R. Karn, O. Adedeji, B.P. Ghimire, A. Abdalla, V. Sheng, G. Ritchie, W. Guo

7. The Evaluation of Spatial Response to Potassium in Soybeans

In agriculture, the nutrients that are in the largest demand are nitrogen (N), phosphorus (P), and potassium (K), as product demand increases  so does demand for fertilizers. In the case of potassium, most soils can provide potassium in amounts that exceed crop demand; however the potassium within the soil is not always readily available to the crop, this leads to producers apply potassium to their crops even though soil tests suggests otherwise. One such crop where potassium is in deman... S. Akin, B. Arnall

8. Biochar Synthesis, Its Impact on Different Soils and Canola Growth

Biochar has been demonstrated as a soil amendment to improve soil health and plant yield. The present study aimed at investigating the potential of wheat straw on canola morphology and yield grown in different soils. The influence of biochar on soil physical and chemical properties was also assessed..Biochar was prepared by pyrolysis of wheat straw in a fixed-bed reactor.  Crushed wheat straw was loaded into the reactor in an N2 environment, and the heating was continued up to... M. Hassan