Enhancing traceability of wheat quality through the supply chain
M Nadimi, E Hawley, J Liu, K Hildebrand… - … Reviews in Food …, 2023 - Wiley Online Library
With the growing global population, the need for food is expected to grow tremendously in
the next few decades. One of the key tools to address such growing food demand is …
the next few decades. One of the key tools to address such growing food demand is …
The environmental impacts of commercial poultry production systems using life cycle assessment: a review
K Kheiralipour, S Rafiee, M Karimi… - World's Poultry …, 2024 - Taylor & Francis
With the ever-increasing world population, there is a need for the agri-food industry to adopt
sustainable practices with a reduced environmental footprint. Life cycle assessment (LCA) is …
sustainable practices with a reduced environmental footprint. Life cycle assessment (LCA) is …
Image-to-image translation-based data augmentation for improving crop/weed classification models for precision agriculture applications
Applications of deep-learning models in machine visions for crop/weed identification have
remarkably upgraded the authenticity of precise weed management. However, compelling …
remarkably upgraded the authenticity of precise weed management. However, compelling …
Automated detection of mechanical damage in flaxseeds using radiographic imaging and machine learning
The growing demand for flaxseed as a source of healthy edible oil mandates the need for
adopting novel strategies for preserving its quantity and quality. Mechanical damage during …
adopting novel strategies for preserving its quantity and quality. Mechanical damage during …
[HTML][HTML] A unified heuristic approach to simultaneously detect fusarium and ergot damage in wheat
Abstract Fusarium spp. and Ergot (Claviceps purpurea) are fungal pathogenic species that
infect cereals worldwide, causing widespread economic losses. Fusarium-damaged kernels …
infect cereals worldwide, causing widespread economic losses. Fusarium-damaged kernels …
Detection of coconut clusters based on occlusion condition using attention-guided faster R-CNN for robotic harvesting
Manual harvesting of coconuts is a highly risky and skill-demanding operation, and the
population of people involved in coconut tree climbing has been steadily decreasing …
population of people involved in coconut tree climbing has been steadily decreasing …
Development of an intelligent imaging system for ripeness determination of wild pistachios
Rapid, non-destructive, and smart assessment of the maturity levels of fruit facilitates their
harvesting and handling operations throughout the supply chain. Recent studies have …
harvesting and handling operations throughout the supply chain. Recent studies have …
[HTML][HTML] Comparison of the energy and exergy parameters in cantaloupe (Cucurbita maxima) drying using hot air
Drying is one of the common techniques for preserving agri-food product quality. However,
for each product, the appropriate drying parameters should be identified to optimize drying …
for each product, the appropriate drying parameters should be identified to optimize drying …
Quality Assessment of Dried White Mulberry (Morus alba L.) Using Machine Vision
Over the past decade, the fresh white mulberry (Morus alba L.) fruit has gained growing
interest due to its superior health and nutritional characteristics. While white mulberry is …
interest due to its superior health and nutritional characteristics. While white mulberry is …
Fresh Fruit Bunch Ripeness Classification Methods: A Review
JY Goh, Y Md Yunos, MS Mohamed Ali - Food and Bioprocess Technology, 2024 - Springer
The escalating demand for palm oil necessitates enhanced production strategies. As the
trend shifts towards automated harvesting to meet the demand, precise ripeness …
trend shifts towards automated harvesting to meet the demand, precise ripeness …