Improving Weeds Identification with a Repository of Agricultural Pre-trained Deep Neural Networks

This This paper aims to increase the farmers’ income and enhance the productivity of farming day-by-day so that the agriculture industry can develop at a large scale. The objective of this research is to increase the farming and seed production for the farmers in agriculture by monitoring and computer network system with reliable servers. It is crucial to solve or minimize or avoid this problem to ensure the best farming and animal husbandry across the agriculture sector to maintain seed growth for the farmers and customers without any error and monitoring. The background for this study is to provide the best services of monitoring and computer networks globally for the production and growing sectors to be involved in emerging activities to reduce the errors using computer network monitoring. Even after dealing with these difficulties, ranchers need sizeable, stable business sectors for their harvests. Appropriately, in the last and present century, people groups have begun investigating the conceivable outcomes by embracing distinctive current procedures in agribusiness. The proposed solution will address the current challenges of computer network monitoring data across the agriculture sector to understand the actual outcomes.