Yuktix® Technologies

Since irrigation is predicted to stay a dominant utilizer of water, irrigation in India tends to consume around 84% of water at present. With this being said, it has become essential to leverage AI and IoT in an attempt to conserve water through smart irrigation. A smart system tends to play a crucial role in varied agriculture parts such as energy efficiency, smart irrigation, decision making, and many more.  Smart irrigation is an advanced approach that incorporates hardware ( IoT ), Firmware ( software on hardware ), and software ( AI - that computes the demand ) along with other inputs like plant growth stage, soil type.  Our society needs to implement smart irrigation to utilize water effectively.   The different types of irrigation in India Well irrigation   In states like Uttar Pradesh and Bihar, numerous wells can be located, each of them being used for irrigation purposes by farmers. Moreover, people tend to install a tube well at locations where there’s groundwater available

In continuation to our previous blog, in this blog, we will be talking about the implementation of IoT across the agriculture value chain for B2B companies and how it has really helped them.  Inside a Lab  - tissue culture or micropropagation as a means of multiplying disease-free plants that can then be used to produce healthy seed tubers for farmers. Potato is susceptible to a lot of diseases. This is where tissue culture plays an important role. First, viruses and other pathogens are eliminated by growing potato plants in a controlled environment at high temperatures. The disease-free shoot tips of the plants are then placed on a standard nutrient medium in glass containers (in vitro) in a completely sterile laboratory environment.  This is where continuous temperature and humidity monitoring is required. The data collected by the sensor is sent to the researchers via the dashboard.  Inside the Greenhouse - The tips develop into plantlets that are then transferred to either a green

Introduction  Usage of IoT in Agri B2B companies  IoT - as the term said - internet of things. IoT helps us capture physical variables and convert them into digital assets which can be used by the organization. The penetration of IoT in other verticals like Industries ( IoT), Smart Cities, Medical industry is comparatively higher as compared to agriculture. IoT in agriculture is still gaining traction and with a huge market, it certainly will get into the mainstream.  The need - Explained with an example. Mr. Manoj is a Senior Production manager in an international FMCG. The company deals in  Production of saplings inside a Greenhouse  Seed Replication - they give the seeds to farmers for replication  Seed storage - they store the seeds in Cold Storage  Transplantation of seeds in field and pre-harvest stage.       All the stages play an important role in the final production of FMCG products and if any stage is affected, it affects the production and thus the inability of the company

Agronomists in India are using IoT applications to help shape the future of agriculture. Some readers of agricultural literature may have come across the terms "agronomy" or "agronomists." It is time to take a closer look at the current agronomy trends and how IoT technologies are affecting them. Needless to say, agronomic methods are a key component of farming systems, and they are greatly influenced by geography. Farmers use these strategies to improve soil quality, increase water consumption, manage crops, and improve the environment. All of these efforts are carried out to improve the farm's quality and quantity, which directly results in improved revenues. In a nutshell, these activities and practices form the foundation of any farm operation.   Not every farmer is technologically proficient or up to date on the newest agronomic procedures. Agronomists play this duty. An agronomic is a scientist who investigates the interaction between the plants farmers ra

Agriculture is brisked up for the biggest revolution with evolving Artificial Intelligence and Machine Learning techniques Ten years back if we would have used   the word  AI (Artificial intelligence) it  would have sounded like a sci fi movie plot, but as we move forward it’s impacting our life more and more . AI  is based on the human intelligence that can be defined in a way that a machine can easily mimic it and execute tasks, from the simplest to even more complex. The goals of artificial intelligence include learning, reasoning, and perception and  Machine learning  is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Now that you’ve an idea of what AI is, let’s dive deep on how it makes an impact on our modern-day farming.  AI and ML are making a huge impact across industries. Every industry is looki

  In India, the agriculture sector contributes more than 15% of GDP. With more than 50% of the country’s population dependent on agriculture, it is alarming that farmers are becoming increasingly dissatisfied with the return on investment (ROI) they receive from farming.   Several factors result in losses if not managed wisely and thus results in diminishing ROI like Fertilizer and irrigation costs, Insufficient measures to protect seeds, Severe weather conditions affecting crops, Unpredictable costs of pest control, Harvesting expenses, Labor costs, Storage of products, Rental, and transportation costs of agricultural machinery, Lack of open data from other growers and agribusinesses on cultivation processes.   Thinking about and switching to the use of technology is no longer an option rather has become a necessity for farmers. The most significant benefit of precision agriculture is its potential to help farmers overcome the threat to global food security. The farmers no longer have