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Food & Agriculture


Leveraging machine learning to rapidly discover novel beneficial microbes

#artificialintelligence

When you think about agriculture, what comes to mind? Tractors? Fields of corn? Big red barns? Often we don't think of computers. But computers and technology are playing a huge role in making our food system more sustainable and reliable. In the past few decades, high-tech machinery and robotics have changed the agroindustry. High-tech farming is making our crops more resilient against pathogens, harvest times more precise, and food yields more robust. Next-generation sequencing and machine learning now make high-tech advances possible at the genome level, particularly when untangling plant-microbe interactions. As technology advances, we can leverage these tools to promote sustainable agricultural practices.


Electrical impedance spectroscopy (EIS) in plant roots research: a review - Plant Methods

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Nondestructive testing of plant roots is a hot topic in recent years. The traditional measurement process is time-consuming and laborious, and it is impossible to analyze the state of plant roots without destroying the sample. Recent studies have shown that as an excellent nondestructive measurement method, although electrical impedance spectroscopy (EIS) has made great achievements in many botanical research fields such as plant morphology and stress resistance, there are still limitations. This review summarizes the application of EIS in plant root measurement. The experiment scheme, instrument and electrode, excitation frequency range, root electrical characteristics, equivalent circuit, and combination of EIS and artificial intelligence (AI) are discussed. Furthermore, the review suggests that future research should focus on miniaturization of measurement equipment, standardization of planting environment and intelligentization of root diagnosis, so as to better apply EIS technology to in situ root nondestructive measurement.


Using sensors and artificial intelligence boosts profitability of agricultural facilities

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According to the Spanish Ministry of Agriculture, Fisheries and Food, the livestock industry accounted for over €20.2 billion of production in the Spanish economy in 2020. Research at the Universitat Oberta de Catalunya (UOC) has confirmed that this figure could significantly improve with the use of new technologies and artificial intelligence, and better control of all the procedures required in production. A UOC industrial doctoral degree from the Network and Information Technologies program has concluded that incorporating artificial intelligence and applying it with devices, such as monitoring sensors, would optimize the livestock industry's restocking and service planning processes, leading to higher profit and reduced costs. "Other more highly industrialized sectors have been benefiting from Industry 4.0 principles and proposals for years, but the livestock industry still suffers from a low degree of digitization," said David Raba, author of the thesis. He conducted the research INSYLO Technologies S.L., a company specializing in the development of volumetric sensors and environmental quality.


Migrating towards technology-based crop yield estimation - Agriculture Post

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The Government of India plans to migrate towards technology-based yield estimation from the conventional Crop Cutting Experiment (CCE) based yield estimation approach. Towards this, few pilot studies have been initiated by taking various government and private agencies onboard. During Kharif 2019, pilot studies were conducted through 12 agencies in 64 districts of 15 states for nine crops envisaging innovative technologies such as high-resolution satellite data (optical and microwave), unmanned aerial vehicle (UAV), advanced multi-parameter crop models, mobile applications for field data collection, artificial intelligence (AI), machine learning (ML), sensor networks, internet of things (IoT), field-based digital photographs, handheld instruments and scientifically designed sampling plans. These approaches were validated in Rabi 2019-20 in 15 blocks of six states. The pilot studies were scaled up to 100 districts with the help of seven agencies for paddy crop in Kharif – 2020, and for paddy and wheat in the Rabi season of 2020-21 in 100 districts of 13 states.


Using sensors and artificial intelligence boosts profitability of agricultural facilities

#artificialintelligence

According to the Spanish Ministry of Agriculture, Fisheries and Food, the livestock industry accounted for over €20.2 billion of production in the Spanish economy in 2020. Research at the Universitat Oberta de Catalunya (UOC) has confirmed that this figure could significantly improve with the use of new technologies and artificial intelligence, and better control of all the procedures required in production. A UOC industrial doctoral degree from the Network and Information Technologies programme has concluded that incorporating artificial intelligence and applying it with devices, such as monitoring sensors, would optimize the livestock industry's restocking and service planning processes, leading to higher profit and reduced costs. "Other more highly industrialized sectors have been benefiting from Industry 4.0 principles and proposals for years, but the livestock industry still suffers from a low degree of digitization," said David Raba, author of the thesis. He conducted the research INSYLO Technologies S.L., a company specializing in the development of volumetric sensors and environmental quality.


Kelly: Aquaculture safe, sustainable way to boost U.S. seafood production

Boston Herald

The seafood industry has long been a vital economic force in Massachusetts, generating $14 billion annually in sales and employing more than 127,000. But despite the strength of the industry here and our rich fishing grounds and strong ports, the Bay State still imports far more seafood than it produces. Today the U.S. imports 90% of the seafood we eat, and it's clear that wild capture fisheries alone can't meet our increasing demand for seafood. It's time for the United States take action to diversify our food supply by encouraging development of the nascent aquaculture industry. Aquaculture -- or fish farming -- needs to play a bigger role in producing sustainable protein for our growing population.


What Role does Data Annotation Play in Agriculture in Terms of AI?

#artificialintelligence

Computer vision models are assisting farmers in a variety of ways, from crop and produce monitoring to livestock and aquaculture. Developing such applications, on the other hand, necessitates working in unstructured, unpredictable, and extremely dynamic settings, where topography and targeted objects are constantly changing and changing. Agriculture, being one of the most significant fields, requires innovative technology like Artificial Intelligence to increase agricultural output and productivity while reducing waste. GIS and geographic data, in combination with sophisticated agricultural equipment, precise annotation tools, and data enrichment experts, help to develop farming activities and make them more efficient and successful. Interestingly, by 2026, total AI expenditure in the agriculture business is predicted to increase from $1 billion to $4 billion.


Is Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming

#artificialintelligence

Deepfake technologies are known for the creation of forged celebrity pornography, face and voice swaps, and other fake media content. Despite the negative connotations the technology bears, the underlying machine learning algorithms have a huge potential that could be applied to not just digital media, but also to medicine, biology, affective science, and agriculture, just to name a few. Due to the ability to generate big datasets based on real data distributions, deepfake could also be used to positively impact non-human animals such as livestock. Generated data using Generative Adversarial Networks, one of the algorithms that deepfake is based on, could be used to train models to accurately identify and monitor animal health and emotions. Through data augmentation, using digital twins, and maybe even displaying digital conspecifics (digital avatars or metaverse) where social interactions are enhanced, deepfake technologies have the potential to increase animal health, emotionality, sociality, animal-human and animal-computer interactions and thereby productivity, and sustainability of the farming industry. The interactive 3D avatars and the digital twins of farm animals enabled by deepfake technology offers a timely and essential way in the digital transformation toward exploring the subtle nuances of animal behavior and cognition in enhancing farm animal welfare. Without offering conclusive remarks, the presented mini review is exploratory in nature due to the nascent s...


Opinion: Artificial Intelligence Could Save Earth

#artificialintelligence

With Earth being in the middle of climate crisis, there have been talks about the ways to save our planet over the past few years. Here a technology like Artificial Intelligence (AI) has the potential to achieve this. AI was valued at USD $62.3 billion in 2020, growing with a CAGR of 40.2 per cent it is expected to value USD $997.77 billion by 2028. This machine learning driven platform aids in identifying patterns using huge chunks of data. The respondents involved in AI projects state that in the next 3 to 5 years AI enabled medical devices are predicted to reduce average global emissions by 18.3 per cent.


Environmental News Network - AI Speeds Delivery of Information Critical for Whale Conservation

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One of the best ways to understand whales is to listen to them. A new artificial intelligence (AI) program named INSTINCT is helping scientists study whales by learning their calls. The Alaska Fisheries Science Center Marine Mammal Laboratory developed Infrastructure for Noise and Soundscape Tolerant Investigation of Nonspecific Call Types, or INSTINCT. It was developed to detect and identify whale calls from underwater acoustic recordings. Automating this analysis means data critical for whale conservation gets to managers years--sometimes decades--faster.