Highlights•Crop/weed classification algorithm is proposed using a BoVW based on SIFT or
SURF.•The highest classification accuracy obtained was 96.5% with zero false …

The current detection technology for vegetable pests mainly relies on artificial statistics,
which exists many shortages such as requiring a large amount of labor, low efficiency …

Marketing profit optimization and preventing the crops' infections are a critical issue. This
requires crops recognition and classification based on their characteristics and different …

Highlights•Derivation of classification limits for context based classifiers.•Variables weed
pressure and the uncertainty of crop plant position.•Testing of two novel context based crop …

Weeds might be defined as destructive plants that grow and compete with agricultural crops
in order to achieve water and nutrients. Uniform spray of herbicides is nowadays a common …

In this study, an automatic system based on open AI architectures was developed and fed
with an in-house built image dataset to recognize seven of the most widespread and hard-to …

Agriculture is one of the principal economic activities of the Jaffna peninsula in the Northern
Province of Sri Lanka. Over 60% of the work force in the peninsula depends on agriculture …

Determining the types of vegetation present in an image is a core step in many precision
agriculture tasks. In this letter, we focus on pixel-based approaches for classification of crops …

Precision Agriculture aims to apply selective treatments and tasks at localized areas
concerning crop fields. Robotized and autonomous tractors, equipped with perception …

Farming systems form the backbone of the world food system. The food system, in turn, is a
critical component in sustainable development, with direct linkages to the social, economic …