• Prof Sahana Shetty
• Dr Narayana Swamy Ramaiah
• Dr Krishna Kanth Singh

Grains manufacturing performs an essential role into the worldwide economy. In the sense, call for effective & the safe strategies for meal manufacturing increasing. The Information Technologies are one of gear for end. This paper reviews the precise and effective solutions blended alongwith artificial intelligence algorithm which achieved essential effects within detection of the pattern into image. In this context, the targets to discover the applicability are discussed in precision agriculture for the production of the majorly produced grains within the world such as maize, rice, wheat, soybean, and barley. The approaches related to such crops or grains are studied including tactics to treat factors associated with ailment detections, grain high-qualities, & phenotyping. From results of systematic evaluation, it becomes possible for identifying the possibilities, along with the exploitations of GPU (Graphics Processing Unit) and advanced artificial intelligence technique, such as DBN (Deep Belief Networks) within production of strong techniques of computer visions carried out to precision agriculturing.

Artificial Intelligence, Crops, Computer Visions, Machine Studying, Precision Agriculture.

"Computer Visions & Artificial Intelligence into Precision Agriculturing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.441-445, February-2019, Available :http://www.jetir.org/papers/JETIREV06070.pdf

"Computer Visions & Artificial Intelligence into Precision Agriculturing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp441-445, February-2019, Available at : http://www.jetir.org/papers/JETIREV06070.pdf