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 3 months

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.
Application Deadline in a month

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.
Application Deadline in 8 days

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.

A Comprehensive IoT Node Proposal Using Open Hardware. A Smart Farming Use Case to Monitor Vineyards

The last decade has witnessed a significant reduction in prices and an increased performance of electronic components, coupled with the influence of the shift towards the generation of open resources, both in terms of knowledge (open access), programs (open-source software), and components (open hardware).

Call for applications: 2019 Syngenta Crop Challenge in Analytics prize

Corn is one of the world’s most important crops. Each year, breeders create several new corn products, known as experimental hybrids. Corn breeders work to create corn hybrids that can maintain high yield across a wide range of environments.
Applications are closed

Vision-Based Apple Classification for Smart Manufacturing

In this paper, an accurate data capture approach based on a vision sensor is proposed. Three image recognition methods are studied to determine the best vision-based classification technique, namely Bag of Words (BOW), Spatial Pyramid Matching (SPM) and Convolutional Neural Network (CNN).

Agricool raises 28M USD to make urban farming a reality

In 2030, 20% of products consumed worldwide will come from urban farming (compared to 5% today). In the past 3 years, Agricool’s teams have developed a technology to grow local, healthy fruits and vegetables more productively and within small and controlled spaces, known as “Cooltainers” (recycled shipping containers transformed into urban farms).

Web-Based System for the Remote Monitoring and Management of Precision Irrigation: A Case Study in an Arid Region of Argentina

This article presents a description of the design, development, and implementation of web-based software and dedicated hardware which allows for the remote monitoring and control of a drip irrigation system.

The Applications of Remote Sensing in Plant Health

Remote sensing is the science of gathering data on an object/area without making physical contact. Aircraft, satellite and drone-based cameras and sensors are used to measure reflected and/or emitted electromagnetic radiation.

Automation for Water and Nitrogen Deficit Stress Detection in Soilless Tomato Crops Based on Spectral Indices

Water and nitrogen deficit stress are some of the most important growth limiting factors in crop production. Several methods have been used to quantify the impact of water and nitrogen deficit stress on plant physiology.

IoT-Based Strawberry Disease Prediction System for Smart Farming

Crop diseases cannot be accurately predicted by merely analyzing individual disease causes. Only through construction of a comprehensive analysis system can users be provided with predictions of highly probable diseases. In this study, cloud-based technology capable of handling the collection, analysis, and prediction of agricultural environment information in one common platform was developed. The proposed Farm as a Service (FaaS) integrated system supports high-level application services by operating and monitoring farms as well as managing associated devices, data, and models.

Social enterprise Ricult uses digital tools to empower rural farmers in developing countries

Farmers can use Ricult’s platform to secure credit, attain inputs such as seeds and fertilizers, monitor weather forecasts, and connect directly with buyers to sell their crops. Further, the platform helps farmers maximize their yields by providing personalized advice for growing crops based on soil tests.

Smart Agriculture Model using modern technologies

This paper presents different techniques of smart agriculture based on the key technologies such as Internet Of Things(IOT), Wireless Sensor Network (WSN), cloud computing, mobile computing, precision agriculture.

ADB Launches Book Showcasing Benefit of Internet Use in Agriculture

The book shows that application of intelligent agriculture practices also provide substantial benefits in pollution control, which help mitigate the contribution of the agriculture sector to global climatic changes. Optimized use of fertilizer and pesticide translates into less soil pollution and less subsequent non-source point pollution together with reduced greenhouse gas emissions.

Solar power tracking & Auto irrigation system

The key objective of this project is decreasing the manual efforts and optimum use of water. In the farmers area electricity available for only few hours which is in day or night. In this project we use the solar panel for the generation energy i.e . electricity.

Plant breeders tap robots, drones and artificial intelligence to feed the world

Digital innovations in agriculture, including robots, drones and artificial intelligence (AI), are part of a new arsenal of tools plant breeders are using to feed the world’s population.

Machine learning methods for crop yield prediction and climate change impact assessment in agriculture

We describe an approach to yield modeling that uses a semiparametric variant of a deep neural network, which can simultaneously account for complex nonlinear relationships in high-dimensional datasets, as well as known parametric structure and unobserved cross-sectional heterogeneity.

Hyperspectral-imaging device gives farmers more accurate read on plant health, provides valuable crop data

A Purdue University professor has built an innovative handheld sensor that gives plant scientists and farmers a more precise way of measuring the health of crops while gathering up-to-the-minute data that state and federal officials and others will find valuable.

Engineers develop ‘bury-and-forget’ sensors, data networks for better soil, water quality

Engineers at Iowa State University and the University of Florida are working on a new system of “bury-and-forget” soil sensors and remote, wireless, data-collection networks that could help reduce the fertilizer that leaves farm fields and feeds the harmful algae blooms both states are working to control.

Farmers Edge Releases the Industry’s First Automatic Crop Health Change Detection Tool

The company’s latest innovation redefines traditional use of satellite imagery, shifting crop health management from reactive to proactive.

Management of Plant Growth Regulators in Cotton Using Active Crop Canopy Sensors

The objective of this study was to evaluate optical and ultrasonic crop canopy sensors to detect the crop spatial variability in cotton fields, and to develop strategies for using this information to perform variable rate application (VRA) of PGR in cotton.

Precision Farming Startup Unlocks Hundreds of Terabytes of Ag Data to the Public

OneSoil launches an interactive digital map of ag data including more than 57 million fields across Europe and the United States, and data on 20 types of crops collected over the last three years

Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence

The method integrates unmanned aerial vehicles (UAVs), hyperspectral image sensors, and data processing algorithms using machine learning.

Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context

The Internet of Things (IoT) has opened productive ways to cultivate soil with the use of low-cost hardware (sensors/actuators) and communication (Internet) technologies.

Increasing investment in Australian AgTech pivotal to our economic success: report

A new report released today by the United States Studies Centre – the first of its kind –analyses the volume, value, and makeup of AgTech investment in Australia.

EU-funded scientists developed adaptable ground and aerial robots that can transform farming

Utilising the data delivered from the UAV, the UGV prototype, called Bonirob, autonomously navigates its environment and performs actions at set locations. For example, it can spray a pesticide onto a selected crop area, and in the case of weed presence, it can get rid of them mechanically, avoiding the use of dangerous herbicides.

3D visualization of GIS data in coconut plantation management: challenges and opportunities

The aim of this paper is to reveal the existing challenges and find opportunities of online 3D visualization of GIS data in coconut plantation management.