Wheat rusts, caused by pathogenic fungi, are responsible for significant losses in Wheat
production. Leaf rust can cause around 45–50% crop loss, whereas stem and stripe rust can …

Wheat is the most important and dominating crop in Pakistan in terms of production and
acreage, which is grown on 37% of the cultivated area, accounting for 70% of the total …

Cropland suitability assessment is an essential technique for agricultural development and
future planning. It is an evaluation to determine how suitable the land is for growing a …

This paper presents a novel approach to agricultural disease diagnostics through the
integration of Deep Learning (DL) techniques with Visual Question Answering (VQA) …

The image-based automatic plant disease identification has emerged as a prominent
research area, driven by recent advancements in machine learning algorithms …

In the post-pandemic future, technology in the agriculture industry can improve food
sustainability while moderating the use of resources of nature in a variety of conditions …

Wheat rust disease poses a significant danger to global food security and requires rapid,
precise diagnosis to be effectively managed. Using a hybrid deep learning (DL) model …

Wheat, a crucial crop globally and a staple food for millions, faces numerous disease
threats, impacting yields and food security. However, wheat crops are vulnerable to many …

Plant diseases act as a major threat to small-scale farmers as they lead to major destruction
in the overall food supply. In this, yellow rust disease of wheat is a major cause of concern in …

Computational models have been an important contributor to growth in agriculture. Artificial
Intelligence (AI) has revolutionized agriculture by efficiently disseminating information to …