Results 161 to 170 of about 3,437,660 (362)
Schematic overview of the graphical abstract illustrating an AI‐integrated framework for mass rearing, quality optimization, and precision release of NEs for sustainable pest management. The left section depicts Trichogramma and Chrysoperla being reared in automated chambers equipped with IoT‐enabled sensors for monitoring light, temperature, and ...
Khadija Javed +4 more
wiley +1 more source
Blossom blight caused by Monilinia laxa in almond orchards in the Ebro Valley. Early stages of mummified fruiting structures infected by M. laxa frequently adhered to branches. Later stages of mummified fruiting structures were predominantly on the ground.
Carla Casals +6 more
wiley +1 more source
Current research on aviation weather (bibliography) [PDF]
This bibliography of 326 readily usable references of basic and applied research programs related to the various areas of aviation meteorology was assembled.
Durham, D. E., Frost, W.
core +1 more source
Application and Exploration of Digital Mobile Learning in Remote Meteorological Training [PDF]
Liu Xiao-ling, Hua Liu
openalex +1 more source
Provision of pest alerts is associated with better farm performance in Africa
Provision of pest alerts on invasive crop pest control in Africa was linked with a higher likelihood of adopting integrated pest management practices, as well as an improvement in crop yield and income. The results suggest that pest alerts are crucial in sustainable pest management strategies against invasive pests. Abstract BACKGROUND Crop pests cause
Makaiko G Khonje +4 more
wiley +1 more source
Coccidioidomycosis (cocci), or more commonly known as Valley Fever, is a fungal infection caused by Coccidioides species that poses a significant public health challenge, particularly in the semi-arid regions of the Americas, with notable prevalence in California and Arizona. Previous epidemiological studies have established a correlation between cocci
Leif Huender, Mary Everett, John Shovic
openaire +2 more sources
Latent data assimilation with non‐explicit observation operator in hydrology
We design a latent neural mapping in the form of a neural network and integrate this within data assimilation. The resulting approach helps mitigate computational costs while addressing the problem of local corrections due to sparse observations and the lack of an observation operator.
Kun Wang +5 more
wiley +1 more source
Artificial Neural Network Based Particle Swarm Optimization for Microgrid Optimal Energy Scheduling
Maher G. M. Abdolrasol +5 more
semanticscholar +1 more source

