Weeds are unwanted and invasive plants that proliferate and compete for resources such as
space, water, nutrients, and sunlight, affecting the quality and productivity of the desired …

The impact of deep learning (DL) is substantial across numerous domains, particularly in
agriculture. Within this context, our study focuses on the classification of problematic …

This research employs Convolutional Neural Networks (CNNs) to distinguish grass and
broadleaf weeds in soybean crops, addressing the challenge of weed interference in …

Unwanted plants called weeds grow among agricultural crops, competing with them for
nutrients, water, and sunshine, resulting in severe output losses. Machine learning …

By recording a wide range of spectral bands across the electromagnetic spectrum,
hyperspectral imagery (HSI) delivers extensive information. Due to the complicated …

Precision agriculture relies on crop disease detection to boost production and food security.
This paper introduces Cognitive Computing-based wheat leaf disease detection. The …