Innovations in the agriculture industry are driven by the increase and diversification of food demand and upcoming technologies. With rising population and intensifying climate conditions, farming practices are transforming rapidly.
Artificial intelligence (AI), machine learning (ML), internet of things (IoT) are a few of the technologies that are prevalent to transform the industry. For instance, AI-powered precision agriculture optimizes soil management and resource usage and computer vision-based equipment monitors soil conditions and crop health.
Climate-smart agriculture and controlled environment agriculture address unpredictable weather in farming, and robotics and automation address labor shortages and ensure efficient operations.
Additionally, farmers and agronomists are also utilizing gene editing to introduce desirable traits into crops and promote sustainable agrochemicals to tackle various climate change issues.
What are the Top 10 Agriculture Trends in 2025?
- Bio Engineering
- Agricultural Robotics & Automation
- Crop Traceability
- Regenerative Agriculture
- Indoor Farming
- Agricultural Mapping
- Predictive Agriculture
- Carbon Farming
- Digital Twins
- Advanced Biofertilizers
Methodology: How We Created the Agriculture Trend Report
For our trend reports, we leverage our proprietary StartUs Insights Discovery Platform, covering 5M+ global startups, 20K technologies & trends plus 150M+ patents, news articles, and market reports.
Creating a report involves approximately 40 hours of analysis. We evaluate our own startup data and complement these insights with external research, including industry reports, news articles, and market analyses. This process enables us to identify the most impactful and innovative trends in the agriculture industry.
For each trend, we select two exemplary startups that meet the following criteria:
- Relevance: Their product, technology, or solution aligns with the trend.
- Founding Year: Established between 2020 and 2025.
- Company Size: A maximum of 200 employees.
- Location: Specific geographic considerations.
This approach ensures our reports provide reliable, actionable insights into the agriculture innovation ecosystem while highlighting startups driving technological advancements in the industry.
Innovation Map outlines the Top 10 Agriculture Trends & 20 Promising Startups
For this in-depth research on the Top Agriculture Trends & Startups, we analyzed a sample of 8300+ global startups & scaleups. The Agriculture Innovation Map created from this data-driven research helps you improve strategic decision-making by giving you a comprehensive overview of the agriculture industry trends & startups that impact your company.
Tree Map reveals the Impact of the Top Agriculture Trends
The Tree Map reveals the top trends of 2025 in the agriculture industry. Bioengineering is at the top of the list, proving the progress in fields like genomically edited crops and sustainable agrochemicals. Further, carbon farming and regenerative agriculture are promoting sustainability while addressing the rising food demand.
The use of agricultural robots ensures time and cost efficiency. Lastly, trends like predictive agriculture, agriculture mapping, and precision agriculture give an insight into the unpredictable factors in the agriculture industry.
Global Startup Heat Map covers Agriculture Startups & Scaleups
The Global Startup Heat Map showcases the distribution of 8300+ exemplary startups and scale-ups analyzed using the StartUs Insights Discovery Platform. It highlights high startup activity in India, the United States, and the United Kingdom. From these, 20 promising startups are featured below, selected based on factors like founding year, location, and funding.
Want to Explore Agriculture Innovations & Trends?
Top 10 Emerging Agriculture Trends [2025 and Beyond]
1. Bio Engineering
Using bioengineering in different sectors of agriculture addresses multiple challenges like climate change, water scarcity, soil degradation, increasing global food demand, and pest resistance.
Genetic engineering is a rising method of bioengineering that agriculturists use to improve traits like drought resistance, pest resistance, and nutritional content in crops. Further, CRISPR gene editing allows precise modification of plant genomes to modify the traits.
Using CRISPR/Cas9 technology, researchers have developed wheat with reduced gluten content and lower immunoreactivity, potentially making it more tolerable for people with gluten sensitivities.
Bioengineering also involves using beneficial microorganisms to produce advanced biofertilizers and soil enhancers. Biofortification is also gaining momentum in areas including rice farming.
An example of beta-carotene fortification is Golden Rice. It contains genes specific to certain metabolic pathways.
These methods lead to good quality crops, increment in nutrition in the crops, reduction in the environmental impact of agriculture, water conservation, and more.
Bioengineering also produces advanced agricultural compounds, which reduce the reliance on traditional chemical synthesis.
Currently, the agriculture biotechnology market size is set to grow by a compound annual growth rate (CAGR) of 7.1% from 2025 to 2030.
Credit: Grand View Research
BioEnergy Solutions provides Soil Conditioners & Plant Biostimulants
Canadian startup BioEnergy Solutions manufactures agricultural specialty soil conditioners and plant biostimulant amendment products. The Regenisys increases plant nutritional uptake and improves soil fertility, water retention capacity, and tolerance to environmental stresses.
It consists of a high concentration of amino acids, fatty acids, minerals, vitamins, and humates, which are delivered directly to the roots and leaves. The Regenichar improves the microbial population of the soil. It also improves the carbon level and the nutrients in the soil.
The reSET is made from organic wood biomass and is a raw, pyroligneous acid. It brightens the leaf and flower and improves the pigments in the fruit. Additionally, it improves pest and disease resistance. reSET is also used for adjusting soil pH. The reZONE is a hybrid of all the other products and accelerates soil remediation, reclamation, and soil recovery programs. The startup uses biodegrading processes to develop the products, which also fulfill the soil organic matter requirement and agricultural sustainability.
Agricells formulates Biostimulants & BioInsecticides
Belgian startup Agricells develops agrochemicals that decrease dependency on traditional chemical inputs. Its product, the Agricells Growth OD PULV is used for in-furrow or drench applications. It optimizes plant growth and ensures maximum nutrient intake.
The Agricells OD Seed improves germination and speeds up young plant growth, ensuring a healthy and abundant harvest. Agricells also provides Agricells Growth OP01, a Kaolin or Maltodextrin-based solid product, which ensures the efficient release of nutrients and supports plant growth.
The Agricells Growth MG are micro granulates, designed for direct in-furrow applications and fit for releasing essential growth into soil. All the products are designed to provide sustainable and environmentally friendly alternatives to agrochemicals.
2. Agricultural Robotics & Automation
Robotics and automation in agriculture address labor shortages, improve safety, optimize resource utilization, and assist in making data-driven decisions.
Automated drones, sprinklers, sowing robots, and harvesting robots use technologies like IoT, precision navigation systems, LiDAR, 3D mapping, autonomous vehicle technology, and computer vision. Fertilizing drones and robots also utilize variable rate technology for fertilizer and pesticide application.
Modern autonomous tractors use AI and GPS to improve their navigation system and optimize tasks like plowing, seeding, and fertilizing. These vehicles perform with consistency and precision and free humans of labor-intensive tasks.
Robotic harvesting systems for delicate crops like sweet peppers navigate complex environments and handle produce gently, potentially reducing waste and improving yields.
Further, harvesting robots use AI for image processing to assess crop ripeness and quality before plucking them. They function 24×7 to meet high crop demands.
For example, the Digital FarmHand, developed by the University of Sydney, is a robotic platform designed specifically for smallholder farms, capable of mapping fields and collecting data on crop health and yield.
Additionally, there are drones with high-resolution cameras and sensors, which collect real-time data on crop health, soil conditions, pest presence, and more.
The agriculture robots market size is projected to reach USD 139.4 billion by 2035, representing a CAGR of 24.78%.
SIZA Robotics designs Autonomous Agricultural Robots
French startup SIZA Robotics builds Toogo, an autonomous robot for vegetable and large-scale farming. Toogo is equipped with AI-powered intuitive mission planning and is capable of predictive maintenance, and remote supervision of operations.
The robot features powerful electric motors and runs autonomously for multiple hours. It comes with a camera for precise tool guidance and is capable of real-time kinematic (RTK) precision, geofencing, obstacle detection, and emergency stops.
Toogo is modular and has various track widths that adapt to various plots. Additionally, it reduces fuel costs, personnel costs, and CO2 emissions, and improves soil compaction.
Orchard Robotics builds Crop Load Management Robots
US-based startup Orchard Robotics builds a camera system, which gathers data on visible fruits on any tree. The camera system uses a custom-built computer vision system and AI software to track the characteristics of every visible fruit on the tree.
It also consists of multiple internal sensors, which make the data available to the users at all times. The camera system is easily mountable on any tractor or farm vehicle. Growers use the camera system to gain strategic insights into crop load management, optimize fruit size and quality, and outperform yield targets.
Farmers and fruit sellers use the system to gather information about early session yield and size estimates, efficient planning and forecasting, and better contract management.
3. Crop Traceability
A few technologies used to ensure crop traceability are geographic information systems (GIS), QR codes, RFID tags, satellite imagery, and remote sensing.
Further, blockchain technology creates an unalterable record of a product’s journey, which ensures fast identification and isolation of contaminated products. This ensures effective recalls, faster decision-making, reduction in counterfeit products, and correct pricing of high-quality ones.
In India, blockchain-based traceability solutions combat the issue of spurious seeds, which has been a significant challenge for farmers.
DNA tracing authenticates the origin of agricultural products, allowing for precise identification of crop varieties and their sources. Additionally, farm-to-fork traceability systems reduce food waste by up to 20% in the supply chain, significantly improving resource efficiency.
Additionally, IoT devices monitor the quality, temperature, and storage of crops in transit, which enables precise adherence to food safety standards. An increase in food safety and transparency improves consumer trust.
The global blockchain in agriculture market size will grow at a CAGR of 45.2% to reach USD 8492.59 billion by 2032.
Credit: Zion Market Research
Akashicbytes advances Agricultural Supply Chain Traceability
Indian startup Akashichbytes builds platforms for agricultural supply chain traceability and farm data management.
Exporters and importers use the Tracify for agricultural products. It tracks and manages information about post-harvest activities of crops like grapes and coffee.
The Farm Edge is a farm digitization and data management platform. It is fit for farmer-produce companies, co-operatives, agribusinesses, and government institutions.
The platform ensures transparency in the supply chain by monitoring and collecting data in real time. The platforms ensure safety, ethical sourcing, and sustainability of the products within the supply chain.
AgroSfer simplifies Agricultural Raw Materials Supply Traceability
Beninese startup AgroSfer designs a SaaS platform for the collection and analysis of agricultural supply chain data. The platform creates databases of members of producer organizations. It also manages campaigns and suggests technical routes, trains farmers, along with monitoring their progress.
It facilitates direct trade between cooperatives, lessors, and industrialists. Users collect data like plot yield, field edge loss rate, producer income, carbon impact, and more to generate impact analysis reports.
4. Regenerative Agriculture
Currently, the global regenerative market is USD 1.31 billion, which is set to reach USD 5.77 billion by 2034 at a CAGR of 15.97%.
Regenerative agriculture mitigates climate change, improves soil health, enhances biodiversity, supports water efficiency, and more.
Credit: Precedence Research
It further mitigates climate change by sequestering carbon dioxide and reducing agriculture’s carbon footprint. The regenerative techniques also decrease reliance on chemical fertilizers. Further, it increases organic matter in the soil and improves soil water retention by decreasing the requirement for irrigation. It improves the soil food web health through methods like no-till, low-till, cover cropping, and rotational crop systems.
Products like biochar improves carbon sequestration of soil and compostable fertilizer increases the organic matter in soil. It also introduces new revenue streams like carbon capture incentives for farmers.
Farmers use IoT and AI-based sensors to analyze soil samples before choosing the regenerative method. Predictive modeling algorithms further assist them in making informed decisions on crop rotation, planting times, and nutrient management.
Climate Sense develops Regenerative Soil Data Technology
Climate Sense is a US-based startup that develops a platform In The Field for regenerative soil data. The startup uses IoT to connect to live-feed sensors and generate data on regenerative agriculture practices. It is suitable for various crops like turmeric, corn, citrus, rice, bamboo, and more.
Farmers use this blockchain-based platform to practice adaptive farming, monetize soil carbon, and incentivize sustainable farming.
Landprint offers d-MRV Platform for Regenerative Economy
Brazilian startup Landprint builds a SaaS digital, measurement, reporting, and verification (d-MRV) platform, which generates scalable information for regenerative agriculture. The startup evaluates the current monitoring frameworks and measurement standards to set indicators for the platform. It further builds the measurement protocol of these indicators using remote sensing data and advanced analytics.
To analyze how close it is to optimal conditions, users rate the indicators against their maximum potential. The platform uses georeference to present the level of adoption and progress of regenerative practices. The data generated on the app is also shareable with third parties.
Users also generate reports that contain verifiable, scalable, and traceable evidence. This ensures an accurate assessment of the adoption of regenerative farming practices and offers an overview of the environmental assets, regenerative practices, and productive resilience.
5. Indoor Farming
Vertical farming, hydroponics, aeroponics, and controlled environment agriculture (CEA) are a few types of indoor farming. This farming type gained popularity due to its benefits like year-round production, space optimization, water efficiency, reduced pesticide usage, low carbon footprint, and sustainability. Since it decreases the use of outer land, it prevents deforestation, reduces soil degradation, and minimizes agricultural runoff.
To make sure the indoor plants receive adequate light, farmers use LED grow lights, fluorescent grow lights, and high-density discharge lights. They ensure proper fertilization and irrigation by using devices equipped with variable rate technology. In hydroponic and aeroponic systems, nutrient-rich water is used as a medium for plant growth. AEH Innovative Hydrogel develops GelPonics technology for nutrient management in vertical farming.
The global indoor farming market size is projected to reach around USD 149.07 billion by 2034 increasing from USD 43.07 billion in 2024, at a CAGR of 13.22% from 2024 to 2034.
Credit: Precedence Research
MetroFarms specializes in Vertical Farming Solutions
UK-based startup Metrofarms builds infrastructure for interconnected vertical farming containers. IoT connects the farming containers, which learn from each other and improve continuously using machine learning. The IoT devices also track several other factors like climate, water, nutrients, CO2, ventilation, and humidity.
It enables an autonomous growing environment. The plants within the container are grown hydroponically and are pest-resistant. The containers improve space utilization as they can be placed anywhere. Entrepreneurs and growers use the infrastructure to launch farms quickly.
GyroPlant designs Reusable Grow Plugs for Hydroponics
UK-based startup GyroPlant builds reusable substrate alternatives. The GyroCup is a reusable growing plug that comes in three variations. The GyroSnap is a zero-substrate reusable growing plug. It is a modified version of GyroCup with two wider prongs, fit for smaller seed types.
The plugs are made of silicone rubber and are flexible. Both plugs are appropriate for hydroponics systems like deep water culture, aeroponics, nutrient film technique (NFT), drip irrigation, and more.
Additionally, they are automated, decrease contamination, and optimize plant and root development. The products are also easy to clean and facilitate various propagation techniques. The plugs are suitable for indoor farming of legumes, fruit, flowers, roots, stems, and leafy plants
6. Agricultural Mapping
Agricultural mapping is useful for soil mapping and management, crop monitoring, yield prediction, precise resource application, farm application, and environmental monitoring.
Satellite imagery, drones, multispectral and hyperspectral imaging, and thermal imaging enable remote monitoring of land and crops. The high-definition images created by these methods provide information about soil health, land condition, and crop quality.
For instance, the Kriging technique interpolates spatial data based on spatial autocorrelation, particularly useful for producing detailed soil property maps.
Further, global positioning systems (GPS) and geographic information systems (GIS) enable georeferencing for farm machinery guidance and provide detailed maps of the farmlands. These are also useful for deciding whether a land is fit for a certain crop cultivation and what are the requirements of that cultivation.
Farmers further use AI algorithms and machine learning to analyze vast amounts of data generated by various equipment to draw insights and predictions.
Global agricultural mapping services are projected to expand at a CAGR of 3.5% and attain a value of USD 7.7 billion by the end of 2035.
Arvorum builds Precision Farming Management Platform
UK-based startup Arvorum provides a digital precision farming platform for crop monitoring, waste reduction, and yield optimization. The platform is compatible with existing in-field data, public datasets, and GPS-enabled machinery.
It combines satellite data, nutrition data, public data, existing inline data, and sensor data, and utilizes the AI by Plantix to detect crop problems and send early warnings. It also provides AI-based decision-making and allows the user to create variable maps using their own strategies.
The mobile application offers infield GPS scouting and connects to a variety of in-field sensors and weather and plant diagnostic tools. The platform is cloud-synchronized and enables collaboration among managers, staff, and advisors.
Saefarm offers AI-based Crop Cultivation Guide
South Korean startup Saefarm builds a satellite agricultural solution that uses AI for plot monitoring, crop classification, and crop AI analysis. The crop classification and plot monitoring system analyzes satellite information from past years to provide important insights.
The solution also analyzes satellite images to monitor soil nitrogen, soil moisture, and chlorophyll content. It also monitors the weather conditions and provides leaf area index, moisture stress, and forecast crop conditions in detail.
The solution closely observes the changing weather conditions and cultivation environments and develops sustainable farming methods according to that. Farmers use it as a detailed guide to achieve better harvests amidst unpredictable situations.
7. Predictive Agriculture
Predictive agriculture consists of analyzing historical data and forecasting agricultural outcomes. Many farmers use cloud computing platforms to store these data and use big data analytics to find patterns and trends within these data.
Agriculturists use machine learning to analyze historical data and automate analytical agricultural model building. These models include trends and patterns that forecast crop yield, and weather fluctuations. It also detects early signs of pest infestation, and nutrient requirements in the soil.
In a study comparing different machine learning algorithms for crop yield prediction, the Random Forest (RF) algorithm outperformed more complex artificial neural networks.
Predictive analytics is also applicable to farm machinery. Farmers analyze telemetry data from pumps, vehicles, and other equipment, farmers to predict maintenance requirements before total failure occurs.
Sensors use IoT and image sensing to provide real-time data on soil health. Similarly, drones and satellite images provide detailed farmland maps for precise monitoring and management. With predictive agriculture, farmers adapt to climate change, food demand fluctuation, resource scarcity, and sudden budget changes.
Helios AI offers Price & Supply Forecasting for Agricultural Commodities
US-based startup Helios builds an AI platform CommodiTrack for forecasting the price and supply availability of agricultural commodities. The platform analyzes multiple data points to offer a global, real-time representation of the climate and economic risks affecting the commodities in different regions.
The data comes from a combination of satellite and weather stations. The platform covers the data from several past years and is updated daily. Farmers use the platform to gain actionable input about the supply and their costs.
Calice designs a Computational Agriculture Platform
Argentine startup Calice develops NODES, a computational agricultural platform for agricultural companies. The platform tackles agricultural business problems like supply chain, material availability, and cost optimization.
The platform uses predictive AI and computational data modeling to gather and analyze historical agricultural data. It also performs virtual tours by simulating and analyzing various situations using AI-based models.
Using the insights, the platform suggests novel ag-based products. The agri-food and ag-industrial companies use NODES to improve their productivity, sustainability, resource efficiency, product quality, time to market, and solve corporate challenges.
8. Carbon Farming
Carbon farming consists of introducing carbon capture and utilization techniques on the farmland. It is essential given the significant amount of carbon footprint left behind by various agricultural practices.
Soil management practices like conservation tillage or no-till farming, cover cropping, crop rotation, and biochar application reduce the agricultural carbon footprint. Silvopasture and other integrated crop-livestock systems are also popular methods for carbon farming.
Perennial crops additionally assist in carbon farming by establishing a deep root system, which captures and stores carbon monoxide from the atmosphere in the soil. Bamboo absorbs up to 80 tons of carbon dioxide per acre every year.
Further, precision agriculture, land restoration, maintaining permanent grassland, and carbon-negative chemical usage are also a few prevalent methods of reducing agricultural carbon footprint.
The global carbon farming market is projected to grow at a CAGR of around 11.58% during 2023-28.
Credit: MarkNtel Advisors
Rock Flour Company manufactures Carbon Negative Fertilizers
Danish startup Rock Flour Company offers a natural, non-toxic plant nutrient called Greenlandic Rock Flour (GRF), which ensures climate-friendly crop harvesting. It is a fine rock powder that contains potassium, phosphorus, and other micronutrients, which support healthy soil, maintain soil pH, and improve soil structure and plant growth.
The Greenland ice sheet motion grinds down bedrock into micro-sized particles under the pressure of ice. The summer meltwater washes the GFR out of the glacial system and deposits it on the shoreline.
The deposit is gathered from the shoreline and taken to warmer climates, where it weathers, releasing nutrients and capturing carbon in the process.
GRF is carbon-negative and captures carbon dioxide equivalent to part of its weight. It is suitable for farmers who want to practice regenerative practices, cooperatives, and organic fertilizer suppliers.
Biosorra provides Biochar Carbon Removal Products
Kenyan startup Biosorra develops biochar from crop waste, used for crop yield. The startup uses a pyrocreactor process to transform crop waste into biochar and energy. The production process generates carbon. Biosorra either sells or stores the carbon.
The biochar acts as a sponge for soil and absorbs moisture, which is released during the drier season. The biochar additionally improves soil quality by increasing the pH of acidic soils. It is also used as a fertilizer, which improves soil fertility, reduces nutrient leaching, and prevents soil erosion.
9. Digital Twins
Digital twins are an upcoming method of predictive maintenance and forecasting in the agriculture industry. It improves decision-making, optimizes yields, mitigates unforeseen risks, conserves resources, and reduces cost.
It allows virtual testing of new crop varieties and agricultural products, which reduces the cost and requirement of physical testing. The agricultural digital twin also enables precision farming with site-specific management and customized inputs.
The global agriculture digital twin market size is projected to expand from USD 1.2 billion in 2023 to USD 4.6 billion by 2032, growing at a CAGR of 16.2%.
High-resolution satellite imagery combined with remote sensing technologies create virtual replicas of agricultural lands. These replicas contain details about crop and soil health.
Drones with multispectral cameras and remote sensing technologies also provide detailed images of agricultural land, which are used to create virtual replicas.
Sensors use IoT to collect real-time data on soil conditions, crop health, weather conditions, and equipment performance. AI and ML analyze these data to create a predictive digital model, which enables timely decision-making.
Moray provides Digital Twins for Crop Protection
Brazilian startup Moray builds a digital twin platform that optimizes crop protection and nutrient solutions for the entire farm. The platform provides farm-wide recommendations, per plant application, and per plant detection.
In the recommendation phase, the platform uses large-scale sensing for operational recommendations. The per-plant detection ensures early control and prevention. For detecting and evaluating damage and impact, the startup uses multi-sensor sensing and multi-channel assessment.
The economic optimization engine optimizes the collected data to produce reports of precision application. Farmers use the platform to adapt to physiographic and weather variability as well as apply precision agricultural practice.
PhoGrow3D develops 4D Plant Growth Simulator
German startup PhoGrow3D builds a 4D plant growth simulator, PhoGrow Box. The simulator uses AI to provide digital twins for agriculture in the form of flexible and annotated 4D scans of individual plants or entire fields.
The PhoGrow Box runs autonomously and tracks real plant growth under a controlled environment and then turns them into digital models. The digital model is capable of predicting how plants will grow and change with time.
The photorealistic digital replicas of the field are modifiable according to individual requirements. It addresses the challenges caused by low-quality data. The simulator mitigates the GPS navigation inaccuracies and reception latency, which makes precision farming difficult.
10. Advanced Biofertilizers
Advanced biofertilizers are environmentally friendly and improve soil health, nutrient uptake by the plants, crop yield, and stress tolerance.
Nanotechnology is one of the prevalent methods of manufacturing advanced biofertilizers. It develops nano-biofertilizers, which have nano-sized particles and enable better absorption in the soil as well as the plants.
A few biofertilizers feature advanced polymer coating which ensures gradual nutrient release and better mixing with the soil. Additionally, next-gen sequencing, synthetic biology, and metagenomics identify and produce effective microbial strains for biofertilizers.
Solid and submerged fermentation techniques are also prevalent methods for biofertilizer production. It involves culturing process-effective microbial strains in specific nutrient media, which scales up the microorganisms’ content in solid or liquid matrices.
In August 2024, Rovensa Next released Wiibio, a soil-regenerating biofertilizer based on the Bacillus subtilis strain. It improves soil microbiota and plant development. Further, Canadian startup Fertoz created rock phosphate-based fertilizers coated with live microbes.
Currently, the biofertilizer market is valued at USD 1.41 billion, which is set to reach USD 4.71 billion by 2034 at a CAGR of 12.83%.
Credit: Precedence Research
Syntropia develops Biofertilizers from Organic Waste
Mexican startup Syntropia produces biofertilizers from organic waste and captures carbon dioxide in the process. The carbon-capturing technological process also optimizes waste management in the cities.
The startup fuses plant biomass, calcium, and biochar to create Biotruffles, a slow-release organic fertilizer. It uses plant inputs to produce liquid biofertilizer, which contains essential macro and micronutrients.
The carbon capture kit optimizes carbon capture using living soil. It contains 20 strains of mycorrhiza, which attach to the roots and enable long-term carbon capture in soil.
The biofertilizers and the substrates are appropriate for agriculture, gardening, and ecological restoration.
Plantilizer offers Biochar-based Biofertilizers
German startup Plantilizer provides nature-based microbial biochar that increases yield and improves soil. The startup uses a patented process to manufacture the biochar. It combines the main properties of biochar and plant growth-promoting, nutrient-fixing, and solubilizing plant growth-promoting rhizobacteria (PGPR).
The resultant solution supports carbon capture, nitrogen fixation, phytohormone production, and plant pathogen niche exclusion.
Discover all Agriculture Trends, Technologies & Startups
The top agricultural trends are led by the requirement of sustainability in agricultural practices in a time of growing population, changing climate, and increasing food demand. Current innovations like regenerative agriculture, carbon farming, precision agriculture, and indoor farming are already addressing the majority of the challenges.
Additionally, the introduction of robotics and automation is making up for the intensive labor work required to keep up with the demands. With technologies like AI, ML, computer vision, and deep learning, the industry is set to witness more innovations in the coming time.
The Agriculture Trends & Startups outlined in this report only scratch the surface of trends that we identified during our data-driven innovation & startup scouting process. Identifying new opportunities & emerging technologies to implement into your business goes a long way in gaining a competitive advantage.
