… of using deep learning methods to achieve agricultural tasks … and achieve intelligent weed
control and related areas of … for precision agriculture tasks should be based on plants or their …

… in a diverse environment, its control and action process … Deep Learning techniques may
be enforced in agricultural … The challenges in grasping the fruit from the plant encompass the …

… convolutional deep learning techniques for computer vision in smart farming applications. …
on crops: The use of drones and computer vision techniques in monitoring the crop diseases …

… perceiving things through the camera, control highly reactive … • In an agricultural viewpoint,
farming through robots using … on the collection of plant images and collection based on over …

… -WDC technique for proper discrimination of plants and weeds in precision agriculture. The
… crops and weed images for robotic computer vision control,” Data in Brief, vol. 31, no. 1, pp. …

… A state of the art plant-weed sensing and monitoring … surveys on machine vision and imaging
processing techniques ie … leaves using computer vision and machine learning techniques,’’ …

… use cases of machine learning, machine vision and deep … 5A below clearly depicts the food
monitoring techniques … using AI by using all that data we are collecting from plants, soil, cattle…

… To monitor agricultural drought data in Southeast Australia, an attempt was made to … using
both methods (ML and DL). The most studied agricultural product was rice in plant recognition. …

… , the quality control of food and agricultural products must be … that use machine vision methods
to achieve high agricultural … model has also been applied in the field of computer vision. …

… monitoring agricultural products. Also, with the help of these … natural plant image dataset
from real-life agricultural fields. It … and deep learning techniques, especially deep convolutional …