How Artificial Intelligence is reshaping the Agrotech industry

1. How Artificial Intelligence is reshaping the Agrotech industry? Technological advancements have influenced agriculture in a variety of ways throughout the years. As the world's population grows from 7.5 billion in 2010 to 9.7 billion in 2050, there will be increasing pressure on land, as just 4percent of the world's land will be cultivated by 2050. Farmers will be forced to produce more with less. According to the same study, the food output will grow by 60% to feed an additional two billion people. This tremendous demand, however, cannot be fulfilled with traditional techniques. “Infosearch helps various industries including agriculture with various data annotation services such as bounding box, semantic segmentation, polygon, image, video annotation etc. Contact Infosearch right away to discuss your requirements.” As a result, farmers and agro-businesses are forced to discover innovative ways to improve productivity and decrease waste. Therefore, Artificial Intelligence (AI) continues to emerge as part of agriculture's technological growth. The goal is to raise global food production by 50% by 2050 to feed an

2. additional two billion people by that time. They'll help farmers enhance efficiency, increase agricultural yields and quality, and speed up the time it takes to get products to market by using AI-enabled tools. HOW IS ARTIFICIAL INTELLIGENCE RESHAPING THE AGROTECH INDUSTRY? 1) Spraying chemicals using AI – Saves money: It is estimated that farms create tens of thousands of data points on soil, temperature and moisture, meteorological conditions, and many other abiotic factors every day. This artificial intelligence model analyses this data in real-time to get helpful insights. It checks when to sow seeds, which crops to plant, which hybrid seeds to plant to increase yields, etc. These sprayers with artificial intelligence (AI) can minimize chemical usage in the fields by precisely spraying only on weeds, improving the quality of agricultural products and reducing costs. 2) Automated harvesting using AI-based robots: When was the last time you asked yourself who truly harvests the vegetables from the farmland and why? When it comes to collecting large quantities of fruit quickly and efficiently with more precision, it's usually not the typical farm worker who gets the product to your kitchen table. Machines such as these can assist in increasing the size of the harvest and minimize the amount of garbage left in the field after harvesting. Thus, choosing the suitable fruits at the right time. 3) Artificial Intelligence (AI) for predictive analytics — enables correct decision-making: Predicting when to plant also makes many things easier for farmers. Simply knowing when to sow the seed makes the difference between a successful harvest and a failed one. The ICRISAT scientists utilized a predictive analytics technique to arrive at an exact date for planting the seeds to maximize the

3. harvest. In addition, it also provides information on soil health and fertilizer recommendations. 4) AI for predictive analytical pest control: Automation and improvements in everything from pesticide route planning, spray timings, and insect prediction are all made possible by artificial intelligence (AI). Agricultural producers and pest control firms may practically walk every crop using drone technology. Drone technology provides near- constant monitoring to search for abnormal crop eterioration, pests, disease spots, or dead soil. Thus, providing farmers collect data from a specific crop region to halt disease spread. Wrap up! As the world's population grows, farmers must produce more food to support a rising population. AI-assisted robots and a digital workforce can provide this automated assistance. Genetically modified components and goods promise customers year-round access to fresh seasonal food. It means farms must rely on data to produce longer seasons, larger fields, or varied grow periods. AI can assist Agrotech industry businesses to cope with the rising complexity of modern agriculture. According to a new report, it will require a big focus on universal access. The most cutting-edge technologies are now utilized on well-connected, large, and tiny farms in distant world regions. It benefits from increased connection and outreach as machine learning, automated agricultural goods and data science are becoming more and more prevalent in farming day by day.