A low-cost and open-source platform for automated imaging

Remote monitoring of plants using hyperspectral imaging has become an important tool for the study of plant growth, development, and physiology. Many applications are oriented towards use in field environments to enable non-destructive analysis of crop responses due to factors such as drought, nutrient deficiency, and disease, e.g., using tram, drone, or airplane mounted instruments.

Call for Applications: 2019 Pitching Den Competition

Pitching Den invites high-growth early-stage startups from all over the world to pitch their innovative business solutions to a well-rounded panel of venture capitalists, angel investors and business development experts, and to compete for investment, maximum media exposure and networking opportunities with enablers and sponsors.
Application Deadline in 2 months

Smartbins: Using Intelligent Harvest Baskets to Estimate the Stages of Berry Harvesting

This article proposes the use of Smartbins, intelligent harvest baskets with sensors to collect weight, temperature, and vibration data. Combined analysis of the variables collected, using machine learning algorithms, allows the system to estimate which stage the basket is at with an accuracy of 80%, and to assess whether the fruit has been exposed to situations that could affect its shelf life.

Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning

Invasion of the Polygraphus proximus Blandford bark beetle causes catastrophic damage to forests with firs (Abies sibirica Ledeb) in Russia, especially in Central Siberia. Determining tree damage stage based on the shape, texture and colour of tree crown in unmanned aerial vehicle (UAV) images could help to assess forest health in a faster and cheaper way.

Call for Proposals: BayWa Smart Farming Challenge

BayWa is looking for innovative solutions that use new technologies, ideas and products to support sustainable agriculture. As the global population continues to grow every year, so too does the demand for agricultural products. To continue feeding the world without damaging the environment is one of the greatest challenges faced by society, and can only be achieved by increasing the efficiency and sustainability of agricultural production. BayWa invites submissions that look to tackle this challenge by combining satellite data with other data sources in an innovative and commercially viable way, and where possible, by using machine learning/artificial intelligence to process the data.
Application Deadline in 3 months

Robotic Farmers in Agriculture

As per Euro monitor intersection of robotics, artificial intelligence, analytics and machines for precision farming is one of the top ndustry’s top opportunities. In Europe, Spanish company called Agrobot has developed a strawberry farming robot. It uses up to 24 robotic arms to pick fruit and is capable of autonomous navigation.

CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture

To encourage further progress in challenging realistic agricultural conditions, we present the CropDeep species classification and detection dataset, consisting of 31,147 images with over 49,000 annotated instances from 31 different classes. In contrast to existing vision datasets, images were collected with different cameras and equipment in greenhouses, captured in a wide variety of situations.

Job Vacancy: Project Manager specialized in Smart Agrifood Application

As Project Manager, you will supervise the development and implementation of innovative vertical solutions based on the deployment of IoT combined with real-time Big Data, Artificial Intelligence and dashboard tools on the cloud.
Application Deadline in 5 months

Contribution of the Web of Things and of the Opportunistic Computing to the Smart Agriculture: A Practical Experiment

In this paper, we present a middleware platform for the Internet of Things that implements disruption tolerant opportunistic networking and computing techniques, and that makes it possible to expose and manage physical objects through Web-based protocols, standards and technologies, thus providing interoperability between objects and creating a Web of Things (WoT). This WoT-based opportunistic computing approach is backed up by a practical experiment whose outcomes are presented in this article.

Big data in agriculture and nutrition

In the USA, venture capitalists spent US$3 billion on ‘agtech’ (digital technology in agriculture) in 2016, with 46% of investors focusing on big data and analytics (Walker et al., 2016). Large data initiatives such as the CGIAR’s Big Data in Agriculture Platform have made thousands of datasets and publications available (Pineda, 2018).

Acquiring Food Security through Precision Farming Techniques

In this paper we deal with different aspects of precision farming & IoT in agriculture and their importance related to food security which attracts a lot more importance these days due to inflation.

Soil Less Farming With Industry 4.0

An Internet of Things (IoT) architecture for soil-less farming systems using Industry 4.0 is introduced. The architecture emphasizes the control of water quality in distributed soil-less food production systems by adhering to Industry 4.0 standards. Soil less agriculture can be defined as growing plants in the greenhouse system in solid environments other than soil which is enriched in nutritional solutions.

Facebook Call for Proposals: Computer Vision for Global Challenges

Facebook is calling for proposals for pilot and early-stage research that extends computer vision technologies in developing countries. We specifically seek projects that address the technical challenges impeding computer vision in these contexts, including data and hardware limitations and better integration of new information sources, such as high-resolution satellite imagery. Competitive applications will similarly leverage computer vision to achieve global development priorities, especially those captured in the United Nations Sustainable Development Goals.
Application Deadline in a month

FFAR Call for Research Proposals: Advanced Animal Systems, Health-Agriculture Nexus, Next Generation Crops, Soil Health, Sustainable Water Management, Urban Food Systems

Seeding Solutions applicants are required to complete a pre-proposal. As our Seeding Solutions program supports innovation and partnership, grantees are required to provide matching funds from non-federal sources and identify an innovation that addresses an intractable problem in food and agriculture within one of FFAR’s Challenge areas.
Application Deadline in a month

Agrodat: A Knowledge Centre and Decision Support System for Precision Farming Based on IoT and Big Data Technologies

In general, to implement precision farming and related methods, a vast amount of data about the cultivated fields must be collected from various sources, and analysed. Nationwide projects, such as Agrodat from Hungary, require even more sophisticated IoT and big data solutions starting from the sensor level, through to the applied communication network, and ending with the advanced data analytics facilities and knowledge centre.

AmI Garden: Building an IoT Infrastructure for Precision Agriculture

A unique implementation of precision agriculture in an experimental greenhouse in Crete, Greece, utilises software driven automations to boost greenhouse vegetable cultivation. The system is based on agricultural scenarios for each individual species that grows inside the greenhouse, consisting of the environmental parameters that each vegetable needs for an optimum life cycle, as well as machine learning techniques that allow the system to predict and provide information about possible hazards.

Australia Emerges as a Leading Innovator for Agriculture 4.0

Investors and researchers are looking to Australia to develop the agricultural and food technologies of the future.

Use of Space Technology in the agriculture sector in India

The Ministry of Agriculture and Farmers Welfare, has been pro-active in using the space technology in agricultural sector. The Ministry, since early 80s has been funding various projects, under which Indian Space Research Organisation developed methodologies for Crop Production Forecasting.

Agriculture 4.0: Broadening Responsible Innovation in an Era of Smart Farming

We argue that ideas of responsible innovation should be further developed in order to make them relevant and robust for emergent agri-tech, and that frameworks should be tested in practice to see if they can actively shape innovation trajectories.

Call for Proposals: Innovative ideas in the field of agriculture technology and sustainable production

Project proposals that incorporate innovative ideas in the field of agriculture technology and include more sustainable ways of production are especially expected to be submitted.
Application Deadline in 22 days

Measuring Canopy Structure and Condition Using Multi-Spectral UAS Imagery in a Horticultural Environment

This research established a methodology for accurately estimating tree crown height, extent, plant projective cover (PPC) and condition of avocado tree crops, from a UAS platform. Individual tree crowns were delineated using object-based image analysis. In comparison to field measured canopy heights, an image-derived canopy height model provided a coefficient of determination (R2) of 0.65 and relative root mean squared error of 6%.

Wehubit's Call for Proposals on Climate Smart Agriculture

The specific objective of this Call for Proposals is to increase Climate Smart Agriculture by means of digital solutions.
Applications are closed

International job offer: Agricultural Engineer specializing in Precision Farming

As an agricultural engineer specialized in precision farming, you will work with our multidisciplinary and multicultural team to implement precision farming in our multi-site commercial farms.
Application Deadline in 2 months

PRIMA Call for Proposals: Agro-food Value Chain 2019

Proposals should focus on products with high added value, most exposed to fraud and valorise productions that have been discontinued but hold nutritional value and are important for biodiversity conservation. Proposal should also aim at creating trans-national networks of laboratories, validating and harmonizing protocols, sharing open-data on food products of the Mediterranean tradition, providing a robust support for certification and control bodies, and building capacity in key enabling technologies related to authenticity and traceability.
Applications are closed

A Diagnostic Device for In-Situ Detection of Swine Viral Diseases: The SWINOSTICS Project

In this paper, we present the concept of a novel diagnostic device for on-site analyses, based on the use of advanced bio-sensing and photonics technologies to tackle emerging and endemic viruses causing swine epidemics and significant economic damage in farms.

Proagrica Highlights Top Data Trends for Agribusiness in 2019

For businesses in the supply chain, data solutions can form the backbone of sustainable growth, ensuring robust internal operations that are future-proofed and primed for data integration and insight which presents a potential landscape of dynamic new services and ways of working adding value to both businesses and their customers.

Call for Nominations: World Food Prize Foundation - Food Security and Agricultural Champions

The World Food Prize Foundation is currently accepting nominations for its globally renowned award that recognizes the accomplishments of individuals who have advanced human development by improving the quality, quantity or availability of food in the world. The World Food Prize is the foremost international award recognizing the accomplishments of individuals who have advanced human development by improving the quality, quantity, or availability of food in the world.
Application Deadline in a month

Machine Learning in Agriculture: A Review

Machine learning has emerged with big data technologies and high-performance computing to create new opportunities for data intensive science in the multi-disciplinary agri-technologies domain. In this paper, we present a comprehensive review of research dedicated to applications of machine learning in agricultural production systems.

PRIMA Call for Proposals: Farming Systems 2019 - Sustainability and competitiveness of Mediterranean greenhouse and intensive Horticulture

New soilless systems (including freshwater aquaponics) should be also incorporated and tested in order to facilitate the adoption of efficient fertigation strategies, particularly under conditions of water scarcity and low water quality while ensuring nutrient balance strict and smart control systems to fight eutrophication. Successful technological implementation rests on the effective use by single users or consortia in tight connection with processing industries. This should include integrating sensors data and algorithms into decision support systems.
Applications are closed

Singapore-based SEEDS Capital appoints seven partners to co-invest in agrifood tech startups

SEEDS Capital, the investment arm of Enterprise Singapore, has appointed seven co-investment partners under Startup SG Equity. This will catalyse more than S$90 million worth of investments to develop Singapore-based startups in the Agrifood tech sector. This was announced by Senior Minister of State for Trade and Industry, Dr Koh Poh Koon, at the opening of Indoor Ag-Con Asia.

NRGene and TOYOTA Collaborate to Develop Strawberry Varieties to Better Enable Local Production for the Japanese Market

NRGene, a worldwide leader in genomic analysis, and Toyota announced today the decoding of a leading commercial strawberry genome, a key milestone in the development of high-quality, locally-produced fruits for the Japanese market.

Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture

The smart management of freshwater for precision irrigation in agriculture is essential for increasing crop yield and decreasing costs, while contributing to environmental sustainability. The intense use of technologies offers a means for providing the exact amount of water needed by plants. The Internet of Things (IoT) is the natural choice for smart water management applications, even though the integration of different technologies required for making it work seamlessly in practice is still not fully accomplished.

Multiple UAV Systems for Agricultural Applications: Control, Implementation, and Evaluation

The introduction of multiple unmanned aerial vehicle (UAV) systems into agriculture causes an increase in work efficiency and a decrease in operator fatigue. However, systems that are commonly used in agriculture perform tasks using a single UAV with a centralized controller.

Call for Applications: Global Entrepreneurship Summit 2019

Applicants are invited to apply for Global Entrepreneurship Summit 2019 which is the world’s most inspiring entrepreneurs innovating in Agriculture, Connectivity, Energy, Health, and Water.
Applications are closed

Precision in Agriculture using IoT and AI

IoT has a great potential to improve crop production. In Agriculture industry weather change, diseases, insects damages of crops are majorly analyze by different methods but some of them are unable to proceed properly with precision.

From Industry 4.0 to Agriculture 4.0: A Framework to Manage Product Data in Agri-Food Supply Chain for Voluntary Traceability

Agri-food value chain involves various stakeholders with different roles. All of them abide by national and international rules and leverage marketing strategies to advance their products. Food products and related processing phases carry with it a big mole of data that are often not used to inform final customer. Some data, if fittingly identified and used, can enhance the single company, and/or the all supply chain creates a math between marketing techniques and voluntary traceability strategies.

Advancement in plant monitoring using Arduino and Internet of things

This paper describes an advanced irrigation system which monitors and maintains the desired soil moisture content via automatic watering depending upon the necessity. Microcontroller Arduino Uno platform is used to implement the control unit.

Identification of Citrus Trees from Unmanned Aerial Vehicle Imagery Using Convolutional Neural Networks

Monitoring of individual trees for growth, fruit production and pest and disease occurrence remains a high research priority and the delineation of each tree using automated means as an alternative to manual delineation would be useful for long-term farm management.

Application of computer vision and low-cost artificial intelligence for the identification of phytopathogenic factors in the agro-industry sector

The article describes the approach for developing the proposed algorithm based on artificial intelligence and computer vision for phytopathogenic detection. The methodology for the development and validation stages is specifically discussed.