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Friday / November 22. 2024
HomePosts Tagged "use of Artificial Intelligence (AI) in the agri supply chain industry"

 By Milind Borgikar, Chief Technology Officer, Ayekart

In today’s rapidly evolving world, the agriculture industry stands at a critical crossroad. As global population growth and environmental concerns continue to mount, farmers and stakeholders are grappling with the need for innovative solutions to meet the growing demand for food while minimising the impact on our planet. Fortunately, Artificial Intelligence (AI) has emerged as a powerful tool that holds the potential to reshape the future of agriculture, enabling farmers to optimise their practices, reduce waste, and increase productivity in ways never before imaginable.

Unlocking one of its remarkable advantages, AI revolutionises the assessment of crop quality. By employing sophisticated classification models, AI possesses the unique ability to detect defects, identify diseases, and accurately forecast yield. Through the analysis of imagery obtained from drones, cameras, and sensors, AI algorithms swiftly identify subtle changes in crop appearance, alerting farmers to potential issues before they escalate.

Anticipating Yield

AI’s predictive capabilities extend to forecasting agricultural yield with remarkable accuracy. By analysing data from diverse sources such as weather reports, soil sensors, and crop images, AI provides invaluable insights to farmers regarding optimal planting, harvesting, and crop distribution strategies. This enables farmers to avoid overproduction, reduce wastage, and enhance the profitability of their agricultural operations. With AI as their trusted companion, farmers navigate the complexities of the growing season, making well-informed decisions and reaping the rewards of increased efficiency.

Robotics

The marriage of AI and robotics is propelling agriculture into an exciting future, where precision meets productivity to shape a more sustainable and efficient farming landscape. These cutting-edge machines are revolutionising essential farming tasks, from seeding and spraying to harvesting, with unmatched accuracy. With tireless operations, they eliminate the need for breaks or rest, substantially reducing labour costs while accelerating work speed. By embracing automation, farmers can unlock a multitude of benefits, including enhanced productivity, optimised resource allocation, and streamlined operations.

Cattle Management

By leveraging a variety of sensors and tracking tools, AI algorithms continuously monitor the health and behaviour of livestock. This enables early detection of signs of illness and precise prediction of optimal birthing times. Automated livestock management brings a host of benefits to farmers, including improved animal welfare, reduced labor expenses, and enhanced overall efficiency.

Inventory Tracking

Maintaining optimal inventory management is paramount to ensure agricultural products reach consumers in their freshest state. Embracing image recognition tools, AI algorithms swiftly scan and record inventory levels. This empowers farmers to track their stocks, optimise supply chain operations, and significantly reduce waste.

Weather Prediction

Accurate weather prediction plays a pivotal role in enabling farmers to make well-informed decisions regarding planting, harvesting, and safeguarding their crops. AI-driven weather forecasting models offer farmers actionable insights into crop types and conditions based on precise weather patterns. Armed with this knowledge, farmers can optimise agricultural practices, mitigate losses due to adverse weather conditions, and enhance overall crop yields.

To read more click on: https://agrospectrumindia.com/e-magazine

 By Milind Borgikar, Chief Technology Officer, AyekartIn

Sandeep Sabharwal, Group CEO of SLCM, spoke with AgroSpectrum about the use of Artificial Intelligence (AI) in the agri supply chain industry in India. Edited excerpts;

Founded in 2009, Sohan Lal Commodity Management Pvt. Ltd. (SLCM) Group is one of India’s leading comprehensive service providers in the global post-harvest space for agricultural commodities. It currently operates a network of over 10,255 warehouses and has disbursed loans worth more than Rs 2600 crore over the last three years through its wholly-owned subsidiary Kissandhan business unit. It recently received the accreditation from the National Accreditation Board for Testing & Calibration Laboratories (NABL) for its ground-breaking AI ML QC application, which falls under its patented process management system, “Agri Reach”. This marks the first time in NABL’s history that a mobile app has received certification. Sandeep Sabharwal, Group CEO of SLCM, spoke with AgroSpectrum about the use of Artificial Intelligence (AI) in the agri supply chain industry in India. Edited excerpts;

How do you perceive the transformation of the agriculture value chain with the adoption of new technology solutions?

We have come a long way in the agriculture sector since independence. Over the past two decades the agriculture sector has experienced major disruptions with the introduction of innovative products and solutions that utilise new-age technology applications. Embracing new-age technology platforms or a combination of them like AI, Machine Learning (ML), Internet of Things (IoT), Blockchain, RFIDs, Edge, Drones, etc., is the key to improving efficiencies and optimising operations while reducing costs. The deployment of these new-age technology applications has paved the way for new service models such as ‘Farm-To-Fork’, ‘Farming-as-a-Service (FaaS)’, etc.

How is SLCM’s AI-based Quality Check mobile App ‘Agri Reach’ helping farmers and traders get better prices for their products?

Using this AI ML QC module smartphone application to conduct a quality check of agricultural products is as simple as taking a picture. A simple click and submission through the app will analyse the image for a variety of quality metrics. The user will then receive a detailed quality report based on evidence in the photograph, that covers specifications such as damaged, shrunken, shrivelled or immature grains, foreign matter and a host of other physical parameters like height, length, grid, colour and pattern of the commodity. The results are compared with pre-fed data in the back-end system, which updates itself regularly using a combination of technologies including AI and ML with Python programming language.

The quality check mobile app currently covers wheat, guar, soya beans, chana, rice and maize. It enables farmers, agri traders, and arhtiyas to get an ‘on-the-spot assessment’ of the commodity’s sample within minutes, without having to use any equipment or lab tests. In just two months since its launch, the mobile app has been used to inspect 21.59 lakh metric tonnes of crops at 303 locations in 17 states. The app helps farmers and traders get better prices for their products by providing objective quality reports, which helps them negotiate a fair price in the market.

Recently, the company has received NABL accreditation for the QC App, how will this help in the adoption of ‘Agri Reach’ by farmers and traders, etc.?

We had the vision for ‘phygitalising’ (physical + digital infrastructure) the warehouse management system over a decade ago. With a dedicated team of professionals, SLCM created ‘Agri Reach’ – a system that enables effective warehousing solutions agnostic of infrastructure, geography, and crops. We are the only company in the Indian agriculture sector that has registered a technology patent in the Agri-Logistics (warehousing) segment spanning 75 years post-Independence. And now I am proud to state that the company has reinforced its leadership status by being the first and only company in this space to receive the coveted NABL accreditation for an app that will transform the way the agri industry assesses the quality of its commodities. It is a matter of credibility which will reinforce the trust among end-users.

To read more click on :https://agrospectrumindia.com/e-magazine

Sandeep Sabharwal, Group CEO of SLCM, spoke