Robotic and artificial intelligence use in agriculture refers to Agriculture 5.0. Disruptive
knowledge should aid in the resolution of societal issues. For particular domains, human …

Weed management is an important part of crop production. Efficient weeding can help
increase the yield and quality of crops. However, traditional weeding methods often fail to …

The agrochemical application with conventional sprayers results in wastage of applied
chemicals, which not only increases the economic losses but also pollutes the environment …

This paper presents a mechanical control method for precise weeding based on deep
learning. Deep convolutional neural network was used to identify and locate weeds. A …

The pinto bean is one of widely consumed legume crop that constitutes over 42% of the US
dry bean production. However, limited studies have been conducted in past to assess its …

In order to improve the weeding efficiency and protect farm crops, accurate and fast weeds
removal guidance to agricultural mobile robots is an utmost important topic. Based on this …

Weeding is critical to eliminate non-native plants that compete with main crops and
adversely affect their production quality and quantity. Numerous prototypes exist for inter …

Crop damage during the intra-row weed eradiation is one of the biggest challenges in
intercultural agricultural operations. Several available mechanical systems provide effective …

Sugarcane is a global industrial crop popular for production of sugar, bioenergy, paper,
ethanol, electricity etc. However, its conventional cultivation practice incurs an unnecessary …

Maize is the third most important cereal crop in India and is most susceptible to weed
management practices. Weeding is one of the costliest and laborious operations in crop …