AI into Agriculture: The Farmer 's Favourites :

AI has wrapped every other field in its cloak of innovation and has made significant waves in the agricultural sectors too. In this article we take you through the top three AI-based systems that are now trending among the farmers

Automation Systems

Automation has already been a major part of the farmers and will gain more prominence in the coming years as they are using drones to monitor their crops, and they are able to easily recognize or spot the areas that require irrigation and fertilization using advanced sensors. These devices will be used to monitor soil quality and ensure that crops aren’t affected by drought or other environmental factors. This will conveniently replace a good number of traditional tasks that requires manual labour.

Geographic Information System (GIS) in agriculture is built on technology such as drones and satellites to understand nature of crops , fertilization level and soil types. This is going to make significant improvement in the quality of the yield. The system will also observe the movements and growth of animals thus helping in optimizing operational efficiencies of dairy and poultry farms

Blockchain

Powered by a decentralized database, blockchain technologies helps regulate the quality of food and its shelf life. The auditable database allows farmers and traders to monitor farm produce throughout the supply chain.

Hyperledger, an open source blockchain framework is being widely adopted by fruits and vegetable farmers to strategize their management of agricultural export systems.

IOT

From creating automated irrigation structures to collecting crop data such as soil texture, climate analysis and temperature, IOT as been an impact-maker in transforming the nature of farming. The technology has been great at monitoring soil moisture, crop health and livestock conditions. The systems created by IOT has been iconic in minimizing water wastage and optimum utilization of all the available resources

AI, ML & Data Science

The agricultural sector is witnessing a technological revolution as farmers increasingly deploying Artificial Intelligence (AI), Machine Learning (ML), and data science to enhance forecasting and resource management. Innovative technologies such as 3D laser scanning and spectral imaging are playing a crucial role in predicting weather patterns and optimizing irrigation, fertilization, and pest control. These advancements will enable farmers to make data-driven decisions, improving efficiency and sustainability. Experts believe that integrating AI-driven analytics in agriculture will significantly boost productivity, reduce waste, and support global food security initiatives. As more farmers embrace data science, the future of precision farming looks promising.