Recently, agriculture has gained much attention regarding automation by artificial
intelligence techniques and robotic systems. Particularly, with the advancements in machine …

Weeds are among the major factors that could harm crop yield. With the advances in
electronic and information technologies, machine vision combined with image processing …

Weeds are one of the most important factors affecting agricultural production. The waste and
pollution of farmland ecological environment caused by full-coverage chemical herbicide …

Weeds are undesirable plants that grow in agricultural crops, such as soybean crops,
competing for elements such as sunlight and water, causing losses to crop yields. The …

With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …

The plant disease diagnosis and severity estimation are a very challenging research field in
the agriculture sector. In this work, we present a robust image-based Plant Disease …

Weeds pose a serious threat to the safe wheat production. They are an important factor
contributing to the reduction in wheat yield and quality. The current weed control methods in …

Highlights•We processed the snapshot mosaic hyperspectral images.•Grid search approach
was used to optimise the hyper-parameters of the Random Forests.•Cross validation was …

Background Quality of pre-processed food grains is a critical aspect and a major decider of
market acceptability, storage stability, processing quality, and overall consumer acceptance …

To reduce the cost of production and the pollution of the environment that is due to the
overapplication of herbicide in paddy fields, the location information of rice seedlings and …