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.

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

Call for Proposals: Blockchain use cases in Agriculture

The objective of this call is to support the implementation of blockchain use cases addressing the agri-food sector in Africa, the Caribbean and Pacific countries, in order to contribute to its transformation.
Applications are closed

Evaluation of Altitude Sensors for a Crop Spraying Drone

The specific application is the altitude maintenance for the fluid deployment valve aperture control in an unmanned pulverization aircraft used in precision agriculture.

Radicle Growth to Infuse $450k into Agtech/Foodtech Companies through the Radicle Global Pre-Seed Challenge

The GPS Challenge is a competition to identify and invest in the most promising pre-seed Agtech and Foodtech companies in the world and provide access to the Radicle platform.
Applications are closed