This project aims to develop and demonstrate a ground robot with intelligence capable of conducting semi-autonomous farm operations for different low-heights vegetable crops referred as Agriculture Application Robot(AAR). AAR is a lightweight, solar-electric powered robot that uses intelligent perception for conducting detection and classification of plants and their characteristics. The system also has a robotic arm for the autonomous weed cutting process. The robot can deliver fertilizer spraying, insecticide, herbicide, and other fluids to the targets such as crops, weeds, and other pests. Besides, it provides information for future research into higher-level tasks such as yield estimation, crop, and soil health monitoring. We present the design of robot and the associated experiments which show the promising results in real world environments.

Smart farming, an increasingly common part of food production, refers broadly to the innovative use of sensors, robotics, and artificial intelligence (AI) to streamline agriculture. Field crop examples of smart farming include monitoring soil health using small sensors, spotting signs of disease in plants via drones, and facilitating connections between smaller-scale farmers through consumer electronic devices. These smart innovations offer potential time savings and crop optimization benefits for farmers and may contribute to the wiser use of resources in food production. Smart farming is also used in animal agriculture in forms such as Precision Livestock Farming (PLF) and Digital Livestock Farming (DLF). PLF uses sensors and small electronics to measure key indicators related to animals' physiology and behavior.

Enabling technologies adapted to aquaculture for sector-specific challenges has the potential to generate high-impact innovations. A digitalized farming reality, where effective data is fed into the top production cycle on a systematic basis, offers the opportunity to play a leading role in promoting efficiency and productivity. More specifically, the digital transformation of the aquaculture sector, implementing tools such as cloud services using big data, machine learning, and artificial intelligence, has the potential to increase the efficiency of the sector. The forum focused on how improvements in precision agriculture, farming practices, and profitability can be achieved using data technologies, and how enhanced forecasting and modeling capabilities can improve management decisions. Dr. Nengs opened his presentation with an interesting fact: "Aquaculture is currently the fastest-growing food industry in the world and now accounts for 50% of the total global seafood supply."

When you think of artificial intelligence (AI), chances are the first images that spring to mind are of gleaming tech headquarters populating the heart of Silicon Valley. Or perhaps you imagine state-of-the-art navigation and defense systems outfitting U.S. aircraft carriers and submarines. It's unlikely, though, that references to AI will conjure visions of sprawling fields replete with healthy crops, livestock grazing on emerald pastures, and expansive storehouses containing enormous yields of fresh fruit, vegetable, and dairy, all fresh from the farm. In fact, the marriage of AI and agriculture is real and it is promising. Now, more than ever, it appears that the future of farming may well lie in artificial intelligence technologies.

We are a Ukraine-based company which means that our parents and grandparents lived in the era of infamous Soviet collective farms, where tractors were considered to be an ultimate technology. For them, a smart farm will sound like a fairy tale. So let it be, a fairy tale of a smart farm. First of all, what is a smart farm? Smart Farming is a concept of farming management using modern Information and Communication Technologies to increase the quantity and quality of products.

Greg Kruger pauses for what seems like an eternity during his presentation, but it actually just lasts six seconds. The senior agronomist for BASF's xarvio digital farming division did it to prove a point about BASF's Smart Farming joint collaboration with Bosch that includes precision spraying technology the firms call Smart Spraying. The strategy teams machine-learning algorithms with computer vision to enable "green-on-green" spraying that distinguishes between weeds and crops in-season. Kruger's presentation was part of a BASF media briefing held before this week's Commodity Classic in New Orleans. "In the six seconds that I paused, we've taken 1,000 images [with Smart Spraying] on the boom," says Kruger.

Smart farming using AI and IoT is no longer a distant dream, smart farms are here to stay thanks to amazing advancements in AI and IoT devices. Over the past decades, the agriculture sector has undergone significant changes. Today, it's possible to grow plants even in the most hostile climatic regions. Crops are more resistant to insects, weeds, and climate change than ever before. Lastly, it's possible to breed high-yielding farm animals. But despite all these advancements, a large population of the world is still undernourished.

Changing climatic conditions, the shortage of skilled workers, the use of pesticides--a wide range of factors have an impact on the quality and flow of agricultural processes. Researchers at the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, HHI are aiming to make this more efficient and sustainable by means of cloud and AI technologies. As part of the "NaLamKI" project, they are working with partners to establish a software-as-a-service platform that collects device and machine data to form a data basis for forecasts and decision-making aids. The agricultural sector is facing major challenges: German farmers are already feeling the far-reaching effects of climate change and will have to adapt to this to a greater extent in the future. Rising temperatures and changes in precipitation affect all agricultural variables, ranging from crop growth to crop rotations right through to tillage.

Farmers are turning to digital technologies to grow and sell their products amid the combined impact of depressed sales to restaurants due to the coronavirus pandemic and the graying of Japan's population, which is complicating the drive to raise productivity in the labor-intensive sector. Since the outbreak of COVID-19 last year, an increasing number of farmers and fishers have drawn attention to their plight through Pocket Marche, an online service that brings them together with consumers. "A substantial number of farmers lost their sales to restaurants due to the pandemic and flocked to our app to sell their products," said Pocket Marche Inc. CEO Hiroyuki Takahashi. In February last year, when Japan was reporting slow growth in coronavirus infections, around 2,000 farmers and fishermen were selling their products to 52,000 registered customers via Pocket Marche's app. As the coronavirus situation worsened, the number of producers using the service grew to around 5,100, with customers rising to 300,000. The app, launched in 2016, allows farmers and buyers to exchange messages.

All four men mentioned technology such as autonomous machines, electric power, artificial intelligence, machine learning, sensors and robotics that …