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.
Application Deadline in a month

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.

iPathology: Robotic Applications and Management of Plants and Plant Diseases

We present and review robotic applications on plant pathology and management, and emerging agricultural technologies for intra-urban agriculture. Greenhouse advanced management systems and technologies have been greatly developed in the last years, integrating IoT and WSN (Wireless Sensor Network). Machine learning, machine vision, and AI (Artificial Intelligence) have been utilized and applied in agriculture for automated and robotic farming.
a month ago

Investment Opportunities in India Andhra Pradesh's Food Industry

Andhra Pradesh is the 8th largest state of India by area and 10th largest in terms of population. It has the 2nd longest coastline (974 km) in India. Andhra Pradesh is the base for agricultural activities and food processing. The state is the 2nd largest producer of value-added food products and beverages.
a month ago

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.

EU Call for Proposals: Agricultural digital integration platforms

Agricultural research and innovation supports the sector in coping with a complex mix of challenges it is facing, including for example the pressures on natural resources and farm revenues.
Applications are closed
a month ago

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.

Construction of an in-situ smart device that measures some basic environmental factors for agricultural monitoring

In this work, a portable and user friendly smart Automated Weather Station (AWS) was constructed. The device that is programmed with Arduino UNO is capable of measuring the temperature, relative humidity and moisture content of the soil.

Agri-Food Robotics Digital Innovation Hub

Precision farming will allow European farmers to grow what is needed, with little waste in produce, water, and pesticides, and using less manual labour. Farms of the future will be high-tech ventures that are appealing for the younger generations. Robotics, combined with AI and big data, has a big part to play.

In Field Fruit Sizing Using A Smart Phone Application

The application was based on imaging of fruit against a backboard with a scale using a mobile phone, with operational limits set on camera to object plane angle and camera to object distance.

Rice crop monitoring using multirotor UAV and RGB digital camera at early stage of growth

The objective of this paper is to monitor rice crop by using multirotor Unmanned Aerial Vehicle (UAV) as known as drone and RGB digital camera in Kelantan, Malaysia.

Application Progress of Agricultural Internet of Things in Major Countries

Agriculture is the important application field of the agricultural Internet of Things. With the development of information technology and computer network technology, IoT (Internet of Things) has entered various fields such as agricultural production, management, management, service and so on.

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

The performance of the proposed agricultural multi-UAV system is quantitatively evaluated and analyzed through four experimental cases: single UAV with autonomous control, multiple UAVs with autonomous control, single UAV with remote control, and multiple UAVs with remote control.

Machine Learning Applications on Agricultural Datasets for Smart Farm Enhancement

This work aims to show how to manage heterogeneous information and data coming from real datasets that collect physical, biological, and sensory values.

From Seed to Server: The Evolution of Modern Agriculture

IBM is bringing data and AI together with the global release of the Watson Decision Platform for Agriculture to help growers and enterprises make better decisions.

Technological Innovation for Agricultural Statistics: Special Supplement to Key Indicators for Asia and the Pacific 2018

This report showcases the role that technology can play in improving the quality, timeliness, and frequency of agricultural statistics in Asia and the Pacific.

Call for Proposals: Tools and Technologies for Broad-Scale Pest and Disease Surveillance of Crop Plants in Low-Income Countries

The goal of this topic is to solicit innovative tools and technologies for crop pests and disease surveillance over large geographic regions in low-income countries. We are looking for tools and approaches that have the potential to transform crop pest and disease surveillance globally, with a focus on low-income countries.
Applications are closed

Pepper-picking robot demonstrates its skills in greenhouse labour automation

The SWEEPER robot is the first sweet pepper harvesting robot in the world demonstrated in a commercial greenhouse. It is designed to operate in a single stem row cropping system, with a crop having non-clustered fruits and little leaf occlusion.

Call for Applications: IoT.ATL AgTech Challenge - Innovative AgTech solutions

The IoT.ATL AgTech Challenge will select six solutions to tackle the growing global food shortages. Startups are encouraged to collaborate to provide one complete and innovative AgTech solution. The selected startups will get access to a 20-foot shipping container along the Atlanta Beltline to pilot their AgTech over the course of 12-months as part of Atlanta's Demonstration Project program.
Applications are closed