An interesting question. Smart farm doesn't mean technology loaded farm management. As far as research directions are concerned , these could be elaborated as domesticating the suitable technologies based on their access to resources without compromising with farm output...
Smart farming is the integration of ICT and latest information related with the faxtoelrs affecting crops production qualitatively and Qquantitatively such as weather, plantind merhods and other art of the precision technology....
The smart farm is just a management concept conscersn with using technologies to improve the quality and quantity of farm products. Also facilitating the whole farming process. different directions could be a ground for technologies, such as data gathering, soil scanning, arrigation systems, location positioning systems and internet of things.
Smart Farming represents the application of modern Information and Communication Technologies (ICT) into agriculture. This includes such as precision agriculture, precise equipment, the Internet of Things (IoT), sensors, GPS, Big Data, Unmanned Aerial Vehicles (UAVs, drones), remote sensing and hyperspectral signatures, variable rate technology and robotics, etc.
Management of spatial and temporal variability to improve economic returns following the use of optimized inputs and reduce environmental impact. It includes Management Information System (MIS) / Decision Support Systems (DSS) for whole farm management with the goal of optimizing returns on inputs while preserving resources, enabled by the widespread use of advanced technologies.
Researchable issues are many in this field since it is comparatively emerging field. We have tried with the hyperspectral signature for rice and some vegetables to understand the water stress pattern, nutrient content, biochemical parameters etc and to develop a spectral library. later that can be utilized for the Best Management practices, crop area and productivity estimation precisely etc. But it requires calibration and validation with the existing standard protocols.
Similarly big data analytics and AI can be used to understand all the databases already generated by Agricultural Research agencies and that can be put into effective use. But it requires a multi disciplinary integrated approach.
I think, we also need to evaluate the farm outcome of a smart farm versus conventionally managed farm. We also need some defining parameters to distinguish between smart farm and conventionally managed farm...
Today we have various technologies to monitor the crop right from sowing to harvesting... Nutrient status of the crop, moisture levels needed for sowing the seed, temperature stress using canopy anlazer, chlorophyll using green seeker and spadmeter, tractor mounted spectral radiometer, drones for monitoring the crop for various abiotic and biotic stress. Real time decisions could be initiated for site specific problem for better harvest ensuring the least degradation of natural resources....and is what we want though the smart farms.