Big Data and Agriculture

Kando is a wastewater intelligence company focused on using wastewater data to help protect public health and the environment. The company's data analytics solution allows water utilities to detect, track, and anticipate events in their networks in real time, enabling users to optimize operations, increase water-reuse potential, and lower costs. The solution provides contactless sensors and samplers connected to a data fusion and analytics software engine and optimized to deliver operational intelligence in real time. Kando collects wastewater data from the sewage network, and a cloud-based analytics engine transforms it into actionable insights showcased in a dashboard for utilities and wastewater treatment plants to utilize in their daily operations. It enables capabilities and analytics such as future modeling; configurable, automatic, and real-time event alerts; contamination source analysis; and polluter identification. The solution is also designed for community health applications by providing insights about the health status within the community, thereby serving as a decision-making tool for governmental entities and heath departments.

Ukko's mission is to improve the lives of people with food allergies and sensitivities. Ukko uses immunology, machine learning, and protein engineering to make measurably better and safer proteins for use in food and therapeutics. Ukko does this by designing and controlling the molecular interactions between allergen proteins and the immune system. Ukko's technology uses samples from patients and machine learning to guide the engineering of superior proteins that can be incorporated into food products and therapeutics. These proteins maintain or improve beneficial properties (taste, nutritional value, yield, and physicochemical and mechanical properties) but do not trigger an immune response. Ukko's initial product pipeline includes celiac-safe gluten proteins, allergy-safe and therapeutic peanut proteins, as well as a pipeline of additional allergen proteins.

AgriIOT is the developer of Croptune, a user-friendly, sensorless application that enables users to measure a plant's nitrogen concentration in real time using the camera on any mobile phone. Harnessing a deep knowledge of plant nutrition, electro-optic engineering experience, and machine-learning know-how, the company's technology enables farmers to tailor their nitrogen dosing precisely to the plant's needs and is suitable for use by drones, airplanes, and satellites. AgriIOT's technology is based on image analysis and crop modeling to assess nitrogen levels in plant leaves and recommend the optimal fertilization. The measurements are compared to chemical lab analysis, with excellent correlation between the application and the lab results. AgriIOT's technology has already been calibrated for over 20 different crops, including wheat, corn, cotton, peppers, tomatoes, potatoes, avocados, citrus, and others.

Consumer Physics is the developer of SCiO, a portable material analysis sensor that provides instant results anywhere. SCiO enables professionals throughout the agriculture and food supply chains to make data-driven decisions, thereby reducing food waste while increasing capacity and profitability. SCiOs tools are designed to pair with the SCiO smartphone apps and connect to a cloud-based database of material analysis models. Consumer Physics offers businesses and third-party developers a platform that enables them to design their own material analysis models and mobile applications for commercial use. Consumer Physics SCiO and SCiO-Cup are currently used by food and agriculture companies, including seed and protein companies, agronomy consulting firms, and farmers.

Growin smart farming is turning vacant urban spaces into productive green vertical modular farms. The company's system uses computer simulations to conduct early tests to evaluate how a variety may perform when faced with different sub-climates, nutrition mixes, weather patterns, and other factors. Based on machine learning, its growing units are accurate, efficient, and capable of evaluating a wide set of variables. Growin's crowd-wisdom system is multipurpose, scalable, soil-less, and season-less with a closed-loop water system. It is designed to predict and generate high-quality yield in short-growth harvest cycles. The robotic-ready system ensures superior food safety and minimal environmental impact near or amid consumer population centers.

Via-Cool provides an AI-based solution that enables fresh fruit and vegetable producers, distributors, and retailers to optimize their harvest, destination customers, logistics, and operations. Via Cool provides an accurate prediction of remaining shelf life and quality at each checkpoint along the supply chain, from field to shelf, while making no changes to the current working processes of growers and distributors. The company’s AI solutions leverage data gathered from proprietary research, food safety tracing, and the supply chain as a whole to calculate shelf-life and product scores, which are then automatically published to the relevant planning systems.

GoSmart develops solutions for fish farming by harnessing the Internet of Things and artificial intelligence to transform aquaculture into a real-time digital industry using precision management tools and monitoring systems. The company's fully autonomous, real-time system provides continuous critical data for optimal farming performance, making it a powerful, advanced, and comprehensive solution. GoSmart aims to improve fish welfare by decreasing stress and mortality, minimizing the use of antibiotics and overfeeding, and reducing water pollution and negative environmental impact. GoSmart's system enables farmers to track water quality, fish biomass, mortality, and behavior, providing essential and actionable insights for better decision-making. The company's powerful machine-learning platform is capable of quickly adapting to new fish species, allowing for fast implementation in different farming operations (already covering 50% of global marine fish species production). The system possesses strong computing power that can process large amounts of data, fast and in real time, promoting the goal of transformation to unmanned aquaculture. GoSmart's accessible and low-friction business model enables customers to purchase a unit for each cage/pond/tank and for the company to quickly deploy globally a vast number of systems. Collecting information from multiple farming sites sets the foundation for a big data source for the industry. This highly valuable information will create an additional sales channel for the company.

Canonic aims to develop and bring to market medical-grade cannabis using a genomic approach. The company will initially focus on creating improved cannabis varieties, focusing on yield, stability, and specific metabolite composition. The company is a subsidiary of Evogene. Canonics development efforts will be based on the utilization of Evogenes computational predictive biology platform, which has already demonstrated success in addressing similar objectives for other crops.

Rapid Farm offers farm management software combined with an eCommerce platform, enabling farmers to sell directly to consumers online. Rapid Farms solution helps farmers manage all of their farm operations and production costs for both crops and livestock. It also enables them to manage their revenues, including orders and sales.

Medva GIS is the developer of Insight, a cloud-based spatial BI platform and SDSS. Designed to source and fuse spatial data of any kind into a comprehensive geo database, Insight applies machine learning for algorithm improvement. Medva GIS is focused on making information management accessible by providing efficient data management and decision support systems to help every farmer make the right decision at the right time.

EcoBreed develops solutions to fast-track natural plant breeding. The company's technological platform, BreedFit, enables rapid and personalized breeding of plant varieties by learning the farmer's field and its specific environmental conditions. When introduced into a new field, the BreedFit system uses big data and artificial intelligence to assess various factors such as unique markers for local adaptation. The system then recommends specific varieties for breeding based on its analysis. EcoBreed is currently focused on two markets: seeds and grains for food, and beverages made using wheat, barley, and chickpeas.