… AI-based technology solutions can assist farmers in assessing crop health throughout its
lifecycle in terms of time and effort. In addition to crop monitoring, AI solutions can detect …

… Sensor fusion methodologies must rely on complex algorithms to merge and process
disparate data, such as artificial intelligence (AI) algorithms. Artificial intelligence algorithms …

… advisory to the farmers by wise use of artificial intelligence in … can be analyzed and a best
fit solution of the problem can be … advise the concerned farmers for crop protection [17] and …

… Harvesting of any crop always suffers from the problem of whether that crop might be under-…
Therefore, the author Surya Prabha & Satheesh Kumar, [65] has come up with the solution of …

… crop disease management programmes have the potential to ensure that the appropriate crop
protection … may then be exploited to deliver an ‘intelligence layer’ enabling feedback, and …

… income from the stored crop. If the level of infection of crops is higher than these values, it
is necessary to carry out the processing of crops with plant protection products (Table 2). …

… In this work, we explore the case of embedded artificial intelligence, in which the data … a
real-time monitoring solution based on IoT technology to address the problems of crop damages …

… solutions in agriculture. Historically, traditional methods dominated the realm of crop
protection, employing techniques such as crop … Artificial Intelligence (AI) and machine learning …

… to deliver much-needed solution. AI- based technological solutions has enabled the farmers
… ensuring faster go-to- market for the yielded crops. By 2020, farmers will be using 75 million …

… We put forward the view that integrated solutions for weed control and crop protection are
needed. Such integrated solutions require simultaneous advances in agricultural science, in …