It has 12 Classes for twelve different types of crops. This Dataset is in a zip file containing twelve folders of each plant containing their pictures. It is a Image Classification Problem, which can be easily solved Deep Learning Models such CNN(Convolutional Neural Networks)
This is what the University of Pretoria has to say regarding maize (corn) farming in southern Africa:
Successful cultivation of maize depends largely on the efficacy of weed control. Weed control during the first six to eight weeks after planting is crucial, because weeds compete vigorously with the crop for nutrients and water during this period. Annual yield losses occur as a result of weed infestations in cultivated crops. Crop yield losses that are attributable to weeds vary with type of weed, type of crop, and the environmental conditions involved. Generally, depending on the level of weed control practiced yield losses can vary from 10 to 100 %. Rarely does one experience zero yield loss due to weeds... Yield losses occur as a result of weed interference with the crop's growth and development....This explains why effective weed control is imperative. In order to do effective control the first critical requirement is correct weed identification.