India is primarily an agriculture-based country and its economy largely depends upon the
agriculture. But, most of the crops grown by the farmer are affected by weeds. Weed …

Herbicide use is rising globally to enhance food production, causing harm to environment
and the ecosystem. Precision agriculture suggests variable-rate herbicide application based …

Knowing precise location and having accurate information about weed species is a
prerequisite for developing an effective site-specific weed management (SSWM) system …

Weeds are undesired plants in agricultural fields that affect crop yield and quality by
competing for nutrients, water, sunlight and space. For centuries, farmers have used several …

Weeds compete with crops for resources such as light, nutrients, water and space. When
mature, weeds can produce thousands to hundreds of thousands of seeds that can survive …

Crop recognition is one of the key processes for robotic weeding in precision agriculture,
which remains an open problem due to the unstructured field environment and the wide …

To apply weed control treatments effectively, the weeds must be accurately detected. Deep
learning (DL) has been quite successful in performing the weed identification task. However …

Precise and efficient weed detection in agricultural fields is the key for robotic weed control.
Recent developments in convolutional neural networks (CNNs) have achieved significant …

Weed is one of the main reason for getting less production in agriculture field. At present,
farmers are using herbicides to control the weed but it's having negative impact on crop …

Weeds in wheat fields compete with wheat for light, water, fertilizer, and growth space, and
therefore are one of the main biohazards that limit the yield and quality formation of wheat …