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GIS Technology: Enabling Pinpoint Precision
Unraveling the complexities of modern agriculture, it’s crucial to understand the recurring expenditures that the farming community shoulders each season. At the heart of these are the procurement of seeds and fertilizers, key expenses that can make or break a harvest. Traditional farming techniques rely heavily on manual methods, increasing the expenses braced. Its efficiency and productivity directly result from the skilled labor acquired to run a farm. This results in a best-case scenario that revolves around the farmer’s skill in uniformly applying fertilizers, pesticides, planting seeds, and more. It does not account for variability within the same field. The soil compositions, microenvironments, and microflora often differ even if they are in the same vicinity and are factors that cause this variability. This landscape diversity inevitably necessitates tailored approaches in terms of both the type and quantity of farming inputs, adding yet another layer of complexity to this age-old occupation. So how does precision farming account for this variability? GIS technology, metrological inputs, and custom software are all leveraged by precision farming to boost production by accounting for temporal and spatial variability, assisting farmers in making automated decisions to lower expenses and inputs while maximizing profit. The system cumulates multiple input points like weather data, soil data, tissue sample results, and more to create different types of prescription(s) for the fields. These inputs are fed automatically to the planter, which can apply the product using GIS technology. These systems can also display historical crop data and yields through their sensors located throughout the field. The Role of GIS Technology in Precision Agriculture Best case scenario: these seeds are planted uniformly across the field. Variability in the soil composition and growing conditions produces variability in yield outputs from various field zones. Applying fertilizer uniformly also has the same effect. Historically farmers have studied yield maps of their fields to create management plans based on historical yield data. GIS technology ensures optimal productivity from the soil by inspecting every square unit in detail. Based on soil data, weather data, and in-season satellite imagery monitoring of plant growth, GIS technology allows a farmer to focus on the best-yielding areas within the field, ensuring optimum use of resources and helping in averaging the yield from all variability zones. The reverse is also possible, with farmers minimizing resource allocation in low-yielding zones and saving on seed and fertilizer costs. GIS Technology use cases: Satellite images or NDVI (Normalized Difference Vegetation Index) images: Users can see satellite images of their field showing how a crop is performing and take action accordingly Drone (Unmanned Aerial Vehicles) images: Drone images are another way of checking crop health. Users can fly drones and see high-resolution field images during the growing season Rx maps(prescription map also called variable rate prescription): Using drone and satellite imagery, users create variable rate prescriptions, similar to how a doctor would prescribe medicine, except this is for the soil, with the focus being maximized yield. Boundary management through GIS tools: User can manage their farm/field and boundary using any GIS tool (e.g., a custom tool built using open layers). Users can then draw boundaries using the GIS tool or import limitations from other devices to map out their fields perfectly. Scouting: Technology partners like Tavant can build custom applications that help take pictures of the crops and maintain notes. Enabled with predictive AI algorithms, it can detect potential diseases. Tissue sampling: The user can take tissue samples during the growing season and make result-based informed decisions. Water management: The user can place sensors in the field to turn on sprinklers based on moisture presence. Benefits of GIS/Geo Spatial Technologies in Precision Agriculture: They help locate precise positions on a field, allowing for mapping creation. E.g., farmers can draw their fields geospatially on any map (such as Google Maps). There are open sources like Open layers, which provide Java Script libraries to display map data from different sources without requiring code change on the change of map provider. GIS tools/technologies help fetch satellite images from various satellite providers, intersect based on field boundary, display maps (such as NDVI), and more as a layer on the field. Users can see in-season images corresponding to their fields remotely. Depending on the requirements, private and Govt satellites (e.g., Landsat in US and Sentinel in Europe) are used to access these images of specific resolutions. Users can fly drones with high-resolution cameras over the field and get in-season images to take appropriate actions (E.g., a particular field area may need pesticides or any other special treatment). Going to every site to identify the insects/disease could be tedious. Identification is resolved by looking at high-resolution pictures provided by these satellites and identifying potential diseases. Custom apps are built with disease identification as the objective by feeding the image to machine learning models to determine the cause. Users can also use drones to spray fertilizers remotely with precision and efficiency. Not all areas within a field are the same, and different areas/zones may need additional treatment/seeds. E.g., we could put high population seeds in more fertile areas and other seeds in less productive areas. GIS tools (requiring custom implementation) allow users to divide fields into multiple zones/areas and write a prescription map for the entire field. Users can assign different seeds/products to various locations. This prescription map goes as input (through USB or cloud – in case the planter/combine has internet) to the GPS-enabled planter, and it automatically applies the product (along with the prescribed quantity) as per the prescription. Farmers can sit in an auto steering planter and physically see the planter driving independently and applying different seeds in different areas accurately. Users can also see the real-time output on the monitor, which applies to applications like liquid/solid fertilizer during the season. This data transfer from the planter cloud system to the precision ag application that farmers may use can also be automated. Farmers can plan to take tissue samples from different areas of the field (based on
Precision Agriculture: Technology to Improve Farming in Digital Era (Part 2)
The evolution of precision agriculture technology You may have heard of precise agriculture, but do you understand what it entails and how it transforms modern agriculture? Precise agriculture, also known as precision agriculture or precision farming, is an innovative approach to farming that utilizes advanced technology to optimize agricultural production. It collects and analyzes data to make smarter, more efficient, and environmentally friendly decisions in managing crops and livestock. In the past, farmers had to make decisions about planting, cultivating, and harvesting crops based on their intuition and experience. However, with the advent of precise agriculture, farmers can now make well-informed decisions based on data analysis, leading to better crop yields, reduced environmental impact, and increased profitability. Precise agriculture is a game-changer for sustainable farming practices, enabling farmers to use resources efficiently while minimizing their environmental impact. By embracing precise agriculture, farmers can contribute to global efforts to combat climate change, reduce the use of harmful chemicals, and promote biodiversity. Continuing the previous blog (Precision Agriculture: Technology to Improve Farming in Digital Era), we now dive into the applications of Precision Agriculture and how it continues to revolutionize the Agriculture Industry. Applications of Precision Agriculture: 1. Micro Irrigation: Micro-irrigation systems allow growers to effectively plan irrigation by identifying areas with high and low soil moisture. Precision agriculture irrigation makes it possible to carry out variable rate irrigation to vary the water supply volume for different field parts. This level of control can significantly improve irrigation efficiency and result in significant water savings. One of the indexes used in Crop Monitoring is NDMI. The index shows the crop water stress level in the selected field. Growers can now quickly identify areas of the field that need additional watering, regions of flooding, or areas with excessive moisture. 2. Site-Specific Crop Management (SSCM): SCCM relies on observing, measuring, and responding to inter or intra-field crop variability. It is a modern farming technique used to make production more efficient. SCCM is a form of precision agriculture where decisions on resource application and agronomic practices closely match crop requirements as they vary within a farm or field. SSCM consists of five fundamental components: Spatial referencing Measurement and monitoring of crop, soil, and environmental attributes Attribute mapping Decision Support System (DDS) Differential Action In SSCM, growers take large fields and then divide them into small patches so that no misapplication of products occurs. Growers who use SSCM practices use weather data, humidity, soil temperature, growth, and other factors for crop rotation. They also manage the irrigation rates so no salts accumulate on the soil surface. Some growers employ cutting-edge technology like GPS, computer-controlled tractors, and harvesters. They also use modern practices such as aerial imagery, soil sample collection, soil type, potential yield, and more to divide huge fields into tiny units to reduce waste and boost production. Sensors are also installed throughout the field to detect the slightest changes in the plant or soil. Upon noticing these changes, sensors relay the information to the centers. Centers collect data from farms and fields, process it in real time, and assist growers in making decisions about planting, fertilizing, watering, and harvesting. The sensors detect changes, and the irrigation system operates to deliver the exact amount of water required to the location where it is needed. Growers can increase production while simultaneously conserving soil by using SSCM methods. It ensures food security by enabling us to produce larger yields from the same field. 3. Soil Mapping in Precision Agriculture: Precision Agriculture is only possible with quality ground mapping. With its help, growers evaluate the soil properties, its chemical composition, the presence of the nutrient, and more. Soil mapping practice has existed for a long time, but modern technologies provide even more detailed information, making the new generation of digital maps more efficient. For obtaining data, growers use several types of precision agriculture sensors: Optical sensors that interpret data based on the coefficient of light reflection from the ground Electrochemical sensors that analyze the soil’s electrical characteristics, such as the potassium’s presence Mechanical sensors in contact with the earth determine the types and density of the elements contained in it. 4. Internet of Things (IoT) in Precision Agriculture: The Internet of Things is considered a paradigm shift in the advancement of the smart agriculture field that has enabled the development of smart wearables and connected devices, as well as automated machines and driverless vehicles on fields. IoT has enormous potential in the agriculture industry. Sensors on equipment and materials enable the Internet of Things to simplify and streamline agricultural resource collection, inspection, and distribution. When combined with image recognition technology, field sensors allow growers to monitor their crops from any location. Real-time information is sent to growers by these sensors, allowing them to make crop adjustments accordingly. This system has given growers more control over the field, with dedicated data sensors, remote control, and an IoT platform. With IoT-based precision agriculture, growers can control all the critical information: from air temperature to soil conditions. As a result, growers benefit from IoT sensors deployed in the field, which results in higher food production with less waste-which is the need of every industry today. Moreover, technology solves the problem of manually researching large farms and fields by collecting data independently. The introduction of robotics in agriculture is the shifting norm. Agricultural robotics helps improve productivity, resulting in higher and faster yields. Spraying and weeding robots are helping reduce agrochemical use. Experimentation with laser and camera guidance for weed identification and removal without human intervention has also begun. These robots can use this information as guidance to move between rows of crops independently, so fewer people are needed behind the wheel. 5. Artificial Intelligence and Machine Learning: AI in precision agriculture has redefined farming. It has introduced new intelligent tools for managing agricultural production. AI has been utilized in predictive analytics, allowing growers to make better decisions. The essential concept of AI in agriculture is flexibility, rapid performance, accuracy, and cost viability. Artificial
Tavant and Bayer Enter into an Innovative AgriTech Partnership to Transform Sustainable Farming Practices
SANTA CLARA, Calif. SANTA CLARA, Calif., – Tavant, Silicon Valley’s leading digital products and solutions company, today announced a strategic partnership with Bayer, a global leader in agriculture solutions, to introduce innovative AgriTech solutions that will empower organizations to drive innovation and growers to optimize crop yields, reduce expenses, and minimize their environmental footprint. The partnership comes at a crucial time when growers face mounting pressure to increase productivity while confronting many challenges beyond their control, such as unpredictable weather events and unstable commodity markets. By leveraging the latest technologies, such as Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT) analytics, Bayer’s ready-to-use data models, and Tavant’s technical and specialized expertise in the Agri industry, this partnership aims to empower the organizations to drive innovation and manage the farming challenges. With a focus on enhancing transparency and promoting sustainability throughout the food supply chain, this collaboration is set to transform the agricultural industry. “Innovation in digital agriculture is critical for achieving sustainable farming practices and ensuring adequate food supply. Data is often fragmented and challenging to access throughout the supply chain and developing digital solutions from scratch can be costly, but we are arriving at a very exciting moment in modern agriculture,” said Ines Kapphan, VP of Data & Cloud Solutions, Climate and Digital Farming, Bayer’s Crop Science Division. “Our work with Tavant provides innovators with readymade capabilities, so they can join Bayer and many other impactful companies in solving some of the world’s biggest challenges in agriculture.” “Tavant is a strong proponent of innovation and digitalization in achieving sustainable yields and disrupting the farm to fork value chain. Over the past two decades, Tavant has invested significantly in developing sustainable and efficient farming practices. As a strategic system integrator for Bayer, Tavant is committed to helping growers achieve more with less and providing them with the tools and knowledge necessary to grow crops sustainably while enhancing their profitability,” said Vikas Khosla, Chief Revenue Officer, Hitech, Tavant. “By developing pioneering solutions for transforming the way food is produced, distributed, and consumed, Tavant is poised to drive the agriculture industry forward and provide growers with the tools they need to succeed in a rapidly evolving market,” continued Khosla. Find Tavant Technologies on LinkedIn and Twitter.
Precision Agriculture: Technology to Improve Farming in Digital Era (Part 1 of 2)
Precision agriculture is a farming methodology that analyzes temporal and geographical variability to increase agricultural production sustainability. Precision agriculture employs cutting-edge technology such as satellite images and field mapping to aid in yield optimization, crop management, and crop quality and profitability. Precision agriculture differs from conventional agriculture in that it manages fields by watching, measuring, and reacting to inter and intra-field variability in crops rather than as a unified block. The goal is to define a decision support system for whole farm management with the intent to optimize returns while conserving resources, thus contributing to the development of sustainable agriculture, allowing it to solve both economic and ecological problems while ensuring profitability and environmental protection. Importance Of Precision Agriculture Precision Agriculture enables farmers to make better use of crop inputs such as fertilizers, herbicides, tillage, and irrigation water. It greatly enhances crop efficiency and reduces financial costs while increasing output. Growers usually are aware that their fields have variable yields across their landscape. These variations can be traced to farm management practices, soil properties and environmental characteristics. Soil characteristics that affect yields include texture, structure, moisture, nutrient status, organic matter, and landscape position. However, Environmental factors include weather, insects, weeds, and diseases. For a grower, it was difficult to treat the site specifically based on land variability and soil characteristics. Without technology and information, growers couldn’t easily implement strategies to enhance their production. However, with the advancement of precision agriculture and technology, growers can now make strategic decisions based on the information available, allowing them to maximize crop yield, reduce production-related expenses, and continue to be good stewards of environmental resources. As a result, Precision Agriculture can automate and simplify data gathering and processing. It advises growers, allowing them to make management decisions quickly and efficiently, and to implement them in small areas within large fields. Precision Agricultural Technologies and Methods: Precision Agriculture’s various technological features make use of real-time data and software analytics, as well as hardware and software comprised of ground, aerial, and satellite equipments. 1. Variable Rate Technology (VRT): This technology enables growers to apply fertilizer, pesticides, seeds, and other farm inputs at various rates over a field based on their needs, without having to manually change rate settings on equipment or make several passes over an area. VRT is used to address spatial variability between paddocks or zones. VRT is classified into two categories.: Map-based: a map of application rates is produced for the field prior to the farm operation. Real-time control: decisions about what rates to apply in different locations are made using information gathered during farm operation. This requires sensors to detect necessary information ‘on-the-go’ and is usually designed for a specific job such as herbicide application in fields. 2. Digital Mapping Technology: The maps are used to capture the geographical and topographical features of a field in the form of virtual images. GPS and satellite remote sensing equipment are used for this, which creates maps that display all the field nuances and harvest states. 3. Weather Modeling: In this, weather sensors are used to gather detailed information on local climate factors, which in turn, model the probability of future disease and pest development on any field. 4. Guidance Technology: This utilizes a satellite-based positioning system to help automatically guide agricultural machines and equipment. 5. Drone Technology: Drone technology is used to take aerial images and videography of fields. Watch this space for Part two of this blog on Applications of Precision Agriculture.
PanAmerican Seed Leverages Tavant’s Artificial Intelligence Expertise to Optimize its Seed Production Process
SANTA CLARA, CA (JULY 14, 2021) Data-driven predictive analytics will empower a sustainable tomorrow. Tavant, a digital products and solutions company, today announced it has partnered with PanAmerican Seed, which is a part of Ball Horticultural Company, a leader in all facets of horticulture. The partnership will help Ball Horticultural company create its master data lake platform architecture and further allow them to reduce overall seed production costs. Tavant’s innovative solution, powered by advanced analytics, machine learning, and Microsoft Azure data services, will enable Ball Horticultural Company with real-time actionable insights to address supply and demand needs for developing, producing, and distributing commercial seeds and flowers for thousands of ornamental crops. Tavant will combine machine learning techniques with Ball Horticultural Company’s century-long experience and science of seed germination to predict and improve the overall pod outcome. Tavant’s master data lake architecture will be a centralized repository that will allow Ball Horticultural Company to store all its unstructured and structured data at scale. The machine learning-based models and advanced analytics with rich dashboards and visualization will enable better decision-making for the business. “We have been exploring ways to predict the demand and supply of its F1 hybrid and open-pollinated seeds. Our goal is to cost optimize the labor-intensive specialty crop agriculture business,” said Gus Tassara, Global Director of PanAmerican Seed. “By leveraging artificial intelligence and machine learning technologies, we expect swift decision making, continue to be reliable, and stay ahead in the industry.” “We are excited to partner with Tavant and leverage their deep engineering expertise and knowledge of the agriculture technology domain. This collaboration will help us fast forward our business and serve our customers better,” added Tassara. “Tavant’s partnership with Ball Horticultural Company brings our Agtech and machine learning capabilities into their ecosystem. Our goal is to optimize the yield and maximize their return on investment,” said Vikas Khosla, Executive Vice President of Tavant. “Our strong partnership and joint technology research focus with Microsoft will enable Ball Horticultural Company to improve productivity with data-driven decision-making.” “This is the decade of connectivity fueled agriculture. Microsoft is committed to open agriculture platforms that enable customers like PanAmerican Seed to grow more with less while protecting the Planet. Together with Tavant, we intend to bring the benefits of machine learning to sustainable farming.” said John Workman, Data and AI Solutions Specialist, Microsoft. About Ball Horticultural Company Ball Horticultural Company and its global family of breeders, research and development teams, suppliers, and distribution companies has a strong presence on six continents in 20 countries. Launched by George J. Ball in 1905 as a wholesale cut flower operation, our company has grown to color the world and transform garden dreams into reality. Our plants and products are making history in the world of gardening. Among these are award-winning flowers, vegetables, perennials, roses and shrubs recognized worldwide for their performance and consumer appeal. www.ballhort.com Find Tavant on LinkedIn and Twitter. Media Contact: Jennifer Rodriguez Firecracker PR [email protected] (888) 317-4687 ext. 702
Tavant and Truterra Deepen Strategic Partnership for Connected Agtech Platform
SANTA CLARA, Calif., February 9, 2021 Tavant, a leading digital products and solutions company, today announced a strategic alliance with Truterra, LLC (formerly Land O’Lakes SUSTAIN) to help expand sustainability management practices while increasing on-farm profitability. Tavant will support Truterra on the next evolution of its Agtech platform, called Truterra™ Insights Engine, which will include both integrations with Microsoft FarmBeats and soil analytics for advanced agronomic insights. The Truterra Insights Engine leverages technical capabilities and agronomic expertise from trusted agronomic and conservation sources to boost the value of a stewardship across the supply chain. It seamlessly integrates satellite and sensor-derived data and AI-based modeling and analytics techniques. “America’s farmers face an increasing number of obstacles that are beyond their control, including extreme weather events and volatile commodity markets,” said Jason Weller, Vice President of Truterra. “By leveraging AI, sensors, IoT analytics, and the Azure platform, we expect to help farmers better manage for these risks while taking take transparency and accountability across the food supply chain to the next.” Added Weller, “We are thrilled to work with Tavant as they never fail to deliver higher levels of efficiency while ensuring a positive customer experience at every level. This collaboration will help us to accelerate the pace of our digital transformation initiatives.” “Data-driven agriculture and predictive analytics provide timely and granular decision-making. However, powerful data modeling in agriculture requires combining high-quality data from sensors with extensively available data from weather and satellite sources to increase the scale and accuracy of predictions. Our continued partnership with Truterra is a giant leap towards ensuring that farmers receive these insights in the flawless customer experience that has become the Tavant standard,” said Vikas Khosla, Executive Vice President, Tavant. “We are happy to support Truterra’ s vision in these digital transformation initiatives in the global agriculture industry. Together, we intend to bring the benefits of data & analytics to farming.” added Khosla. About Truterra, LLC Truterra (formerly Land O’Lakes SUSTAIN) is a leading stewardship solutions provider, advancing and connecting sustainability efforts throughout the food system with scale – from farmers to ag retailers to partners like food companies. Truterra positions farmers for success by providing them tools and resources to establish stewardship baseline and track progress on every field they farm. The Truterra™ network brings together the best in agricultural technology and on-farm business management to drive sustainability across the food system, feeding people, safeguarding the planet and supporting farmer livelihoods. Truterra was launched in 2016 by Land O’Lakes, Inc., a member-owned cooperative that spans the spectrum from agricultural production to consumer foods. Find Tavant on LinkedIn and Twitter.
Decoding 5 Key Digital Technologies Reshaping the Agriculture Industry
According to a 2015 report from the McKinsey Global Institute, agriculture is the least digitized industry; far behind healthcare, hospitality, and construction. Conquering agricultural challenges need to break through the weakest link of the food chain by using technology, with digitization as a keystone. In recent years, technology in agriculture, which is also termed as AgTech has drastically changed the agriculture industry. The digital agribusiness is undeniably real, and it’s here to stay. Digital will play a vital role in the agricultural value chain by providing targeted information, data-driven decisions, and recommendations, access to sustainable practices and finance opportunities. How do we do it? Organizations must adapt to survive and thrive People in the industry—farmers, food producers—must embrace the digital transformation trends in agriculture. By leveraging digital technology as a sustainable and scalable resource, organizations can take agriculture to new heights, keeping farm to fork in our future. The overall food production needs to double in a relatively short duration, to support the growing world population. Digitization in the agribusiness sector significantly increases the ability to feed the rapidly growing world population sustainably. Aware but unsure Research shows 90% of CEOs strongly believe that the digital economy will have a significant impact on the agriculture industry; however less than 15% are funding and executing on the plan. It’s fortunate that digitization is helping to connect agricultural concerns across the globe. But what does the future of farming look like? A few significant AgTech trends that are shaping the agriculture industry currently: Artificial Intelligence and robots Agriculture is slowly becoming digital and AI in agriculture is emerging in three major categories, (i) Agricultural robotics (ii) Soil and crop monitoring (iii) Predictive analytics. AI is bringing a revolution to the agriculture sector. Farmers are using AI technologies for sowing seeds using drones, soil mapping, and commodity pricing. Robots will soon be automating many farming processes and take over tasks such as weeding, fertilizing, seeding, or pruning plants. AI helps bring down the operational costs in farms, by reducing dependence on manual labor and allows agronomic expertise to make data-driven decisions. Use of robotics helps in reducing the use of harmful chemicals and contributes towards eco-friendly practices. Soil and crop monitoring by robotics helps in early identification of pest or disease attack and helps contain the damage and treatment costs. Blockchain Blockchain technology will also be a focus in the coming days. It is possible to have real-time monitoring of supply chain leveraging blockchain, and there will be more transparency in agricultural transactions. It is vital for both farmers as wells as consumers: it allows farmers to negotiate better prices throughout the supply chain while enabling consumers to have confidence in the knowledge of precisely from where the produce they buy comes. It is an essential aspect when considering the growing lack of trust in the sourcing of produce sold in markets. Analytics The agriculture sector is innately complex with a wide variety of crops, geographic environments, and climates. This industry has always been loaded with data but scattered across various channels; however, this is changing, and organizations have started unleashing the power of data and analytics. Organizations are now working with farmers to enable them to use data to better plan seeding, management, and harvesting. By making use of sophisticated computer algorithms to evaluate decades of the crop as well as weather data, these days farmers can easily predict crop yields with surprising accuracy, before planting a single seed. Internet of Things The Internet of Things (IoT) is allowing data-driven intelligent agriculture. Intelligent farming using the Internet of Things will enable farmers to reduce waste and enhance productivity significantly, ranging from the amount of fertilizer utilized to the number of journeys the farm vehicles have made. IoT can help in gathering real-time analytical data and take faster commercial decisions. Sensors Recent estimates indicate that in 2025 the global market value of agricultural sensors will reach 288.3 million dollars – a vast increase from its value in 2016 at 99.3 million. Farmers are increasingly using sensors and soil sampling to gather data, and this data gets stored in the farm management system that allows for better processing and analysis. Using sensors to collect data about crops – water requirements, humidity, soil temperature, etc. – is on the rise. Sensors in the field measure soil and weather conditions such as humidity, temperature, and livestock data, while sensors on farming equipment give real-time insight into yield and quality parameters. Agribusiness leaders are learning how to leverage these technologies to: • Increase farming efficiency • Enhance customer experience • Create transparent and sustainable food supply chains • Implement new, sustainable business models • Manage market and price volatility • Engage with the right partners in business networks Connect businesses to the world of agriculture, and the world of agriculture to your business Digital technologies and analytics are transforming agriculture, making a farm’s field operations more insight-driven and efficient. Digital-based farm services are helping to improve business performance and boost yield. Tavant has combined digital technologies such as the Internet of Things with AI capabilities, analytics and its in-depth industry knowledge to help farmers increase their productivity and profitability. • A global digital agriculture company increased the productivity of growers and turned data into actionable insights leveraging Tavant’s AgriTech solution. • One of America’s premier agribusiness and food companies improved processes, boosted their yield, increased profitability, and enhanced customer experience by using Tavant’s AgriTech solution. Want to learn more? You are just a step away. We would be glad to arrange a meeting with you. E-mail us at [email protected] for more information.