Artificial intelligence and agriculture is not a common pairing but it makes some sense. Artificial intelligence can help to increase productivity and yields in ways that could not be done before. It also does so with precision and can help to manage land in a more efficient manner.
Artificial intelligence (AI) and the Internet of Things (IoT) have emerged as solutions for agriculture globally, but in India, there is little awareness on how they can be deployed to improve agricultural productivity. Although de-risking the AI and IoT in agriculture for Indian farmers will require a paradigm shift in technology adoption, large-scale funding can support its adoption, while creating jobs in the process.
Agri-intelligent machines are ideally suited for more sustainable, predictable, and resilient agriculture. Current AI technologies could provide crop improvement solutions to the above-mentioned challenges by identifying traits and traits across generations in crops that have shown promising results in yield improvement.
Higher yields: The agriculture sector is poised for a major leap in AI technology that can help farmers produce higher yields with less crop damage, monitor soil density, and growing conditions, organize data for farmers, and improve a wide range of farming-related tasks in the entire food supply chain.
Augmenting Entire Supply Chain: AI is capable of boosting crop yields, reducing waste and pollution, and improving how farmers manage their crops. As a result, almost every single aspect of agriculture and the food supply chain can be improved with AI by augmenting human workers and helping them complete their work more efficiently.
Opportunity for High Growth: AI in Agriculture market is growing rapidly with the increasing use of advanced software and hardware technologies to develop better agricultural products, systems, and services. Rising demand for highly available and cost-effective precision farming technology is one of the major factors driving AI in the agriculture market.
Huge Agricultural Data Resource: Agriculture is a trillion-dollar industry in India. Due to the diversity of its soil types, climate, and topography, India provides a great opportunity for the data scientists and AI experts to develop state-of-the-art AI tools and solutions for agriculture.
AI Helping Analyze Farm Data: Artificial Intelligence in Agriculture is an innovative system that utilizes machine learning, AI, and Cloud computing to automate the intensive tasks farmers have traditionally spent time on, freeing up more of their time to focus on areas they are currently less efficient at.
Precision Agriculture: Precision agriculture uses AI technology to aid in detecting diseases in plants, pests, and poor plant nutrition on farms. GPS enabled drones are used to detect diseases and deliver the right dose of medicine to the exact land area where it is needed, thus reducing the need for toxic chemicals on fields and saving significant amounts of money for farmers.
Tackling the Labour Challenge: With fewer people entering the farming profession, most farms are facing the challenge of a workforce shortage. The future of farming looks bright with the rise in the adoption of AI standards and technologies in agriculture. The possibilities are endless as we are entering a new era of agriculture when machines will be able to do most of the work that humans used to do.
