Agricultural Chemicals


AI for Good: How advanced crop intelligence can help solve food production challenges

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By being more effective in how they target crops, growers expe rience the economic benefits of reduced costs for crop protection, reduced crop threats, and therefore increased yields. Gamaya's precision agriculture services equip growers with information about the location, type, and intensity of the weeds infesting their fields. Targeted spraying reduces chemical usage, thereby significantly reducing the farm er's costs, lowering the negative impacts to the environment, and on human health, and likely slows the spread of herbicide-resistance. Not only is the cam era itself small, but it compresses data 100 times more efficiently than other hyperspectral cam eras, making our data processing quicker, less complex, and less expensive than with other hyperspectral sensors.


How Machine Learning Will Change What You Eat

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During the 20th century, advances in fertilizers, irrigation, and mechanized farming technology helped make it possible to feed a dramatically growing world population. Now, advocates say, the next big advance in agricultural technology may come from the digital world, as modern computer vision, precision sensors, and machine-learning technology help farmers use last century's advances more efficiently and precisely to grow healthier and tastier food. And the American Farm Bureau Federation, a farming industry group, has cautioned farmers to make sure they understand how their data is stored by digital providers. They're also trying to help feed a still-growing world population as climate change disrupts farms and populations, and expanding middle-class societies around the world purchase more food.


Will machines help us to be better people?

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Cisco defines the Internet of Everything (IoE) as bringing together people, process, data, and things to make networked connections more relevant and valuable than ever before-turning information into actions that create new capabilities, richer experiences, and unprecedented economic opportunity for businesses, individuals, and countries. No more frustration with rude or aggressive drivers, the future connected cars will make us better drivers. Many farmers waste money on excessive chemicals and nutrients that pollute the environment and weaken the ecosystems farmers depend upon: clean water, healthy soils, beneficial insects, mistreated animals, and more. Might seem like an impossible dream today, but it is not; in the future interconnected machines will allow farmers to create profitable farms that will produce an abundance of healthy food while improving the soil, enhancing biodiversity, and protecting habitats.


ARTIFICIAL INTELLIGENCE IN AGRICULTURE. PART 1: HOW FARMING IS GOING AUTOMATED WITH ROBOTS

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A swarm of small robots like Prospero would have the ability to farm inch by inch, examining the soil before planting each seed and choosing the best variety for that spot. Precision lettuce-thinning can characterise every plot by counting plants and plant spacing, building canopy height distributions, and measuring key physiological parameters, generate tabulate data and statistics for each plot and build plot image library that contains all images and plot reconstructions from every plot. Using ever-more sophisticated software coupled with off-the-shelf technology including sensors, radar, and GPS, the system allows an operator working a combine to set the course of a driverless tractor pulling a grain cart, position the cart to receive the grain from the combine, and then send the fully loaded cart to be unloaded. Autonomous harvesters and planters may possibly overcome the problem of an inadequate supply of skilled labor during planting and harvesting, allow more acreage to be worked for longer time periods, demonstrate higher efficiency for precision agriculture and could prove more economical, especially if they work continuously.


Artificial Intelligence in Agriculture. Part 1: How Farming is Going Automated with Robots – AI.Business

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A swarm of small robots like Prospero would have the ability to farm inch by inch, examining the soil before planting each seed and choosing the best variety for that spot. Using ever-more sophisticated software coupled with off-the-shelf technology including sensors, radar, and GPS, the system allows an operator working a combine to set the course of a driverless tractor pulling a grain cart, position the cart to receive the grain from the combine, and then send the fully loaded cart to be unloaded. Autonomous harvesters and planters may possibly overcome the problem of an inadequate supply of skilled labor during planting and harvesting, allow more acreage to be worked for longer time periods, demonstrate higher efficiency for precision agriculture and could prove more economical, especially if they work continuously. Artificial intelligence can fill the current manpower shortage and change the face of agriculture by increasing efficiency, reducing production costs of vegetables and fruits, minimizing environmental impacts and harvesting more.