Background The occurrence of diseases in rice leaves presents a substantial challenge to
farmers on a global scale, hence jeopardizing the food security of an expanding global …

Introduction Tomatoes are sensitive to low temperatures during their growth process, and
low temperatures are one of the main environmental limitations affecting plant growth and …

Traditional deep learning models for fruit and vegetable classification are usually
implemented via training on an unchanged dataset. However, changing fruit and vegetable …

Rice, a worldwide grown grain, frequently suffers production issues caused by nutrient
imbalances, particularly potassium, nitrogen, and phosphorus. Identifying nutrient …

With the rapid development of seed research, understanding the external structure and
characteristics of plants has become essential. Seed coat thickness plays a key role in …

The identification of plant leaf diseases is crucial in precision agriculture, playing a pivotal
role in advancing the modernization of agriculture. Timely detection and diagnosis of leaf …

The intersection of climate change and food production is emerging as a critical area of
research, focusing on both the potential benefits and the significant challenges posed by …

The global significance of potato (Solanum tuberosum) as a staple food necessitates
innovative approaches to safeguard its production against detrimental fungal pathogens …

At present, the application of remote sensing (RS) data achieved from satellite imagery or
unmanned aerial vehicles (UAV) has become common for crop classification procedures, ie …

In order to ensure the sustainable continuity of agricultural production, which affects the level
of economic welfare, plant leaf diseases must be kept under control. Plants can be easily …