The growing global population and accompanying increase in food demand has put
pressure on agriculture to produce higher yields in the face of numerous challenges …

In the last ten years, there has been an upsurge in focus on sustainable agribusiness as a
response to the bio-hazards posed by the effects of climate change, severe weather events …

Early diagnosis of plant diseases is of vital importance since they cause social, ecological,
and economic losses. Therefore, it is highly complex and causes excessive workload and …

Tomato occupies a protuberant place in every kitchen in various forms and this is one of the
finest crops cultivated worldwide. However, the production of tomato crops is adversely …

Accurately detecting disease occurrences of crops in early stage is essential for quality and
yield of crops through the decision of an appropriate treatments. However, detection of …

Abstract Machine learning has revolutionized the field of agricultural science, particularly in
the early detection and management of plant diseases, which are crucial for maintaining …

Tomato leaf disease identification is difficult owing to the variety of diseases and complex
causes, for which the method based on the convolutional neural network is effective. While it …

To address the challenges of insufficient accuracy in detecting tomato disease object
detection caused by dense target distributions, large-scale variations, and poor feature …

The field of aeronautics consistently aims for innovation and progress to enhance the safety,
effectiveness, and overall performance of aircraft Al-Haddadet al.[1], Al-Haddadet al.,[2] …

Many sciences exploit algorithms in a large variety of applications. In agronomy, large
amounts of agricultural data are handled by adopting procedures for optimization, clustering …