Collaborating Authors

Farming 3.0: How AI, IoT and Mobile Apps Are driving the AgriTech Revolution


The Indian agricultural sector is at the cusp of a breakthrough. The Indian agriculture industry is going through a huge transformation, a revolution as we speak. The Green Revolution was a path breaking initiative that brought agriculture to the forefront of the Indian economy. If the industrialisation of agriculture and initiatives like the Green revolution brought agriculture to the forefront, a new wave of technological advancement and new-age startups are revolutionising agriculture as we know it. At present, agriculture and allied industries contributes to 17-18 per cent of the country's GDP.

Artificial Intelligence in Agriculture


This article was published as a part of the Data Science Blogathon. Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the simplest to those that are even more complex. The goals of artificial intelligence include learning, reasoning, and perception. Recent advancements have already led to invention that previously lived in the realm of science fiction – and we have only scratched the surface of what's possible" – JEFF BEZOS, Amazon CEO Some examples, vision-recognition systems on self-driving cars, in the recommendation engines that suggest products you might like based on what you bought in the past, speech, and language recognition of the Siri virtual assistant on the Apple iPhone. AI is making a huge impact in all domains of the industry.

Artificial Intelligence in agriculture technology in 2025


Artificial intelligence means that a machine can mimic human intelligence and perform tasks. It happens when human intelligence is defined in a way that a machine can understand. And, AI technology in agriculture can make world a better place. Artificial Intelligence can perform simple to complex tasks. The objective of machine is to learn, reason-out, and percept.

AI strawberries and blockchain chicken: how digital agriculture could rescue global food security


In May 2020, with technical support from the UN FAO, China Agricultural University and Chinese e-commerce platform Pinduoduo hosted a "smart agriculture competition". Three teams of top strawberry growers – the Traditional teams – and four teams of scientific AI experts – the Technology teams – took part in a strawberry-growing competition in the province of Yunnan, China, billed as an agricultural version of the historical match between a human Go player and Google's DeepMind AI. At the beginning, the Traditional teams were expected to draw best practices from their collective planting and agricultural experience. And they did – for a while. They led in efficient production for a few months before the Technology teams gradually caught up, employing internet-enabled devices (such as intelligent sensors), data analysis and fully digital greenhouse automation.

Connected Farming: 5 IoT Applications Redefining Agriculture


In present times, farmers are leaning towards using modern technologies to maximize their production with minimal efforts and resources while also meet the demand of global hunger. While the agricultural revolution of the 1800s brought about grain elevators, chemical fertilizers, and the first gas-powered tractor and the 1960s saw the usage of satellites in farm planning, to feed the projected 9.6 billion human population of 2050, farmers and agricultural researchers need to think of new innovative solutions. Other challenges in agriculture include extreme weather conditions and rising climate change and environmental impact resulting from intensive farming practices. This is why the agriculture industry needs to embrace IoT (Internet of Things). Agricultural IoT applications make it possible for ranchers and farmers to collect meaningful data.