AI and IOT drive the development of sophisticated smart agriculture

How is AI and IoT changing agriculture now?  

An increasing number of indoor farming operations are adopting automated grow technology because the technologies can help constantly improve and adjust the growing environment by using machine learning to achieve the highest possible crop yield, while concentrating on the lowest possible cost and a strategic use of resources.JXCT is a smart agricultural equipment manufacturer with many years of experience. Here we can provide you with intimate product guidance. We have a variety of smart agriculture related equipment.

JXCT is ahead of the curve on this front. Our systems include IoT to AI integrated facility and system controls. This includes critical sensing and monitoring interface equipment, advanced automated grow systems, proprietary high-efficiency grow channels, and hybrid hydroponic-aeroponic nutrient systems. These technologies also integrate with our unique supplemental grow lighting system, using learned intelligence to respond instantaneously to the external weather and climate conditions, using real-time data to adjust the internal environment with a focus on providing the optimum microclimate for the plants.

We believe the key to all of this is how each element – from the specific crop’s needs to the operations, facility, systems and controlled environment works is integrated, using the best of natural light and the sun and supporting it with specially designed supplemental lighting. 

We don’t use technology such as IoT to AI just because we can. We use it strategically and ensure that it is integrated and provides the crop with the best growing environment possible. 

What are some of the biggest barriers to implementing IoT and AI in farming?

First, the technologies are relatively new to the traditional agriculture industry, so there is a steep learning curve for many who are unfamiliar with integrating the digital world into farming practices. There is a general lack of understanding of how it can help them and how they would go about deploying it. 

Secondly, it requires building a robust technology infrastructure on top of their growing systems. Most lack experience or the engineering talent in this regard. Facilities in rural and remote areas may also lack sufficient broadband infrastructure to support the flow of data.

There are high adoption costs in acquiring, retrofitting, and implementing the technologies. Technologies can also introduce security concerns into some operations. Cybersecurity risk prevention measures will need to be implemented to protect sensitive and proprietary data.  

How are these challenges overcome?

I think it is fair to say that most farmers know that things need to change. The Agriculture industry is littered with legacy systems that are outdated and ineffective. At JXCT, a key element for us as we started out was to address the challenges that are being faced by looking at what could be done, at what is needed for the plant to reach as close to its full genetic potential as possible. We didn’t look at what was out there and how we could ‘fix’ it – we looked at a solution that starts with the seed and went from there. A true reimagination of agriculture. We knew that we had to do things differently from what has been done over the last decades. 

I think that in looking at the industry, we need to start by making the solutions simpler for farmers to adopt. We also need to educate the agriculture community about how these innovations can help them gain better control over their grow environments, with new-found abilities to more precisely monitor their crops’ health, soil condition, temperature, light exposure, humidity, and so on – and how all of the elements – from crops to operations to the facility to the systems and the environment have to be interwoven, to work together for the best outcome.

Smart Agriculture Solution

Smart agriculture is an advanced stage of agricultural production. It integrates emerging Internet, mobile Internet, cloud computing and Internet of Things technologies. It relies on various sensor nodes (environmental temperature and humidity, soil moisture, carbon dioxide, image Etc.) and the wireless communication network to realize the intelligent perception, intelligent early warning, intelligent decision-making and intelligent analysis of the agricultural production environment. Online guidance from experts in smart agriculture solutions provides precise planting, visual management, and intelligent decision-making for agricultural production.