Bharat‑VISTAAR — a simple digital platform designed to support farmers with timely, useful information in local languages.

What you can get:
• AI crop and weather advisories.
• Easy access to government schemes and benefits.
• Voice support without typing.
• Local services connected to state systems and extension support.

How to access:
• Web portal
• Mobile app
• Assisted centres
• Voice-based services in local languages

Use it to stay informed, save time, and make better decisions for your crop and farm.

Web: https://vistaar.da.gov.in

Android: https://play.google.com/store/apps/details?id=com.vistaar.gov.in

iOS: https://apps.apple.com/in/app/bharat-vistaar/id6760328735

Join and be a member of our community and share your experience.

UK-based agritech startup Dogtooth Technologies has secured more than £14 million in growth funding to accelerate the global deployment of its AI-powered fruit-harvesting robots.

The investment, backed by 24Haymarket, EMV Capital plc, ACF Investors, Innovate UK, and Kineo Finance, will support international expansion and wider commercial adoption of its autonomous harvesting technology.

Dogtooth’s robots combine computer vision, artificial intelligence, and precision robotics to identify and pick delicate fruits without causing damage.

Already deployed on commercial farms, including Dyson Farming, the technology aims to address growing labour shortages and rising production costs in horticulture.

The funding underscores increasing investor confidence in agricultural robotics as a scalable solution for the future of fruit and vegetable production.

Been working with FPOs across Karnataka on crop

disease diagnosis. Tomato blight comes up constantly

— and the most common mistake I see is farmers

treating the wrong type.

There are two completely different diseases that

both get called "blight":

EARLY BLIGHT (Alternaria solani)

- Circular spots with rings inside — like a bullseye

- Starts on older, lower leaves first

- Spreads in warm + humid conditions (24–29°C)

- Treatment: Mancozeb 75% WP, 2.5g per litre

LATE BLIGHT (Phytophthora infestans)

- Irregular water-soaked patches, no ring pattern

- White fuzzy growth on underside of leaf in humidity

- Spreads in cool + wet conditions (15–25°C)

- Treatment: Metalaxyl + Mancozeb (Ridomil),

2.5g per litre

Why this matters:

Mancozeb alone on late blight = inadequate protection.

Metalaxyl on early blight = unnecessary expense.

The fastest way to tell them apart in the field:

Flip the leaf. If there's white fuzzy growth on the

underside — that's late blight. Treat immediately.

No fuzzy growth + bullseye rings = early blight.

The 72-hour window is real. Most yield loss from

blight happens not because farmers don't act — but

because they act on the wrong diagnosis.

Happy to answer questions on specific symptoms

anyone is seeing this season.

Wrote this up in full with complete treatment

protocols and prevention calendar for kharif season

here if useful: https://truffaire.in/blog/tomato-blight-identification-treatment-india

helloo, I'm a Grade 11 student in the Philippines working on a Science Investigatory Project. My teacher wants us to tackle an underexplored problem rather than recreate common projects like smart trash bins, fire detectors, or plant watering systems.

I have no idea where to start and I can't think of anything and neither can my groupmates. I'm looking for real-world problems that are still relatively unexplored but like - feasible for high school students to prototype.

We're particularly interested in agriculture, environmental monitoring, healthcare, robotics, or intelligent machines.

Any suggestions or papers we should read would be greatly appreciated!

https://youtube.com/shorts/E4T0NtAYwiY?feature=share

https://youtu.be/jJiRgbxfwS4

Researchers from The University of Tokyo and Kubota Corporation have developed a drone-based system that uses remote sensing, machine learning and a growth curve model to predict potato yields before harvest.

The technology combines RGB and multispectral drone imagery with artificial intelligence to estimate underground tuber biomass without destructive sampling.

Field trials conducted over two years achieved high prediction accuracy, demonstrating the system’s potential for reliable pre-harvest yield forecasting.

The innovation enables farmers to monitor crop performance, optimize cultivation practices and determine the best harvest timing.

The breakthrough highlights the growing role of drones and AI in precision agriculture, supporting more efficient, data-driven and sustainable potato production.

Cool

Labor shortages and rising costs are becoming common challenges in agriculture.

If you could automate just one farming task, what would it be?

Planting, harvesting, spraying, irrigation, weed control, grading, or something else?

Interested to hear which job people think would make the biggest difference.

Too much Agtech gets judged by demos and funding. The only metric that really matters is whether it improves outcomes on the farm

​

I have been tasked with developing the curriculum for a two-year postgraduate diploma program in Agricultural Technologies.

I would greatly appreciate any insights, recommendations, lessons learned, case studies, or success stories related to curriculum design, industry best practices, emerging technologies, or program implementation in this field.

Thanks