Results 51 to 60 of about 7,991,343 (226)
Portable Apple Leaf Disease Detection System Using Convolutional Neural Networks
A major issue in agriculture is the need to cope with plant diseases. Adequate expertise and domain knowledge are required to handle diseases effectively in the field. The concurrence of the increasingly portable device ownership, such as smartphones and
Luu, Thanh Hieu
core
Industrial manufacturing processes have transformative effects on the components of food matrix. These transformations in food matrix and components have direct implications for quality assurance (QA), food quality (e.g., nutritional profile and texture), and food safety management (e.g., pathogen control and toxin mitigation). ABSTRACT This systematic
Chinaza Godswill Awuchi
wiley +1 more source
A systematic review of deep learning techniques for apple leaf diseases classification and detection [PDF]
Agriculture sustains populations and provides livelihoods, contributing to socioeconomic growth. Apples are one of the most popular fruits and contains various antioxidants that reduce the risk of chronic diseases. Additionally, they are low in calories,
Assad Souleyman Doutoum, Bulent Tugrul
doaj +2 more sources
The graphical abstract illustrates the interconnected relationship between food safety management, mycotoxin toxicity, and detoxification strategies, highlighting how preventive measures across the food chain can minimize mycotoxin contamination and reduce adverse health effects in humans/animals.
Chinaza Godswill Awuchi
wiley +1 more source
Uptake, metabolism, and bioremediation of neonicotinoid insecticides in soil–plant systems: A review
This review summarizes the uptake and metabolic transformation of neonicotinoid insecticides in plants, showing that some metabolites exhibit higher toxicity. We also critically assess promising bioremediation strategies using microbes and plant–microbe interactions to reduce residue contamination.
Wenwen Guo +5 more
wiley +1 more source
IntroductionCurrent detection methods for apple leaf diseases still suffer some challenges, such as the high number of parameters, low detection speed and poor detection performance for small dense spots, which limit the practical applications in ...
Yongmao Wang (14667623) +5 more
core +1 more source
GAPNet: Single and multiplant leaf disease classification method based on simplified SqueezeNet for grape, apple and potato plants [PDF]
Humans need food to sustain their lives. Therefore, agriculture is one of the most important issues in nations. Agriculture also plays a major role in the economic development of countries by increasing economic income.
Özge Nur Özaras, Asuman Günay Yılmaz
doaj +2 more sources
Caring with forests: Human and more‐than‐human care in forest occupations in Germany
Abstract Drawing on ongoing ethnographic and participatory action research within forest occupations in Germany, this paper develops the concept of ‘caring with forests’ to theorise the mutual, multidimensional relationships of care that emerge between humans and more‐than‐human beings in environmental protest settings.
Sebastian Garbe
wiley +1 more source
Novel edodine was identified from Lentinula edodes HK761, exhibiting biocontrol potential against fire blight by affecting motility, intracellular ATP level, and cell division of Erwinia amylovora. Abstract BACKGROUND In the search for biological resources with antibacterial activity against Erwinia amylovora, the culture filtrate of Lentinula edodes ...
Yeong Seok Kim +7 more
wiley +1 more source
Schematic diagram of the single and dual RPA‐CRISPR/Cas12a/13a diagnostic assays for the detection of Pantoea stewartii subsp. stewartii and Maize dwarf mosaic virus. The validated assays provide a useful and sensitive molecular tool for detecting two quarantine pathogens of maize within a minimal resource framework suitable for fast‐tracking the ...
Qian Tian +6 more
wiley +1 more source

