Intelligent Monitoring and Management System for Large-Scale Orchards Using AI, IoT, and Remote Sensing

By Ayandeh Negaran Ab va Khak

Intelligent Monitoring and Management System for Large-Scale Orchards Using AI, IoT, and Remote Sensing

Smart orchard monitoring using AI, IoT, and satellite imagery

Reward500,000,000 T

Time left23 d

StatusOpen

AgriTechArtificial IntelligenceData EngineeringIoT & Embedded

0 participants competing

Overview

Milestones

Resources

Scoring

FAQ

Overview

Managing large-scale orchards with traditional methods increases costs, reduces productivity, and delays stress detection. This challenge seeks to design an integrated system based on satellite imagery, IoT sensors, and AI algorithms for monitoring plant health, soil moisture, pests, and productivity.

Ideal Participants

Specialists in precision agriculture, IoT, AI/machine learning, remote sensing, and orchard management

Rules

Participation constitutes acceptance of terms and IP rules.

Payment Milestones

A 500,000,000 T payment pool will be released across milestones, unlocked after each stage is completed and approved.

Advance Payment

500,000,000 T

25% advance payment

Business Plan & Maps

700,000,000 T

35% after business plan and execution maps

Pilot Completion

500,000,000 T

25% after pilot implementation

Final Delivery

300,000,000 T

15% after final evaluation and financial model

Resources & Datasets

Download technical specifications, sample datasets, and reference materials. Unlock by registering for the challenge.

Judges & Scoring

Review Scorecard, Submissions are evaluated across the following weighted criteria. Maximum total: 100 points.

System Accuracy & Performance

30%

Usability & Integration

25%

Cost-Effectiveness

25%

Operational Effectiveness

20%

Submission Requirements

Integrated smart monitoring system with satellite/drone imagery, IoT sensors, and AI algorithms for plant stress detection with minimum 80% accuracy
Minimum 20% water consumption reduction and 15% field monitoring cost reduction. Active management dashboard delivery
Connection of at least one remote sensing data source and one field/IoT data source. Periodic analytical reports for pilot area
Pilot implementation in minimum 100 hectares. Technical documentation, user manual, and system maintenance plan required

Frequently Asked Questions

Have more questions? Our support team is always ready to help.

Managing thousands of hectares of orchards with traditional field visits is not feasible. An integrated data-driven system is needed for tree health monitoring, water stress detection, yield prediction, and rapid decision-making.

Lack of smart monitoring and management system causes delayed and imprecise decision-making, non-optimized water and input consumption, reduced yield, decreased product quality, and increased management costs.

Reducing field monitoring costs, early stress and disease detection, increasing productivity, reducing losses, and enabling scalable management at large scale.

Poor telecommunications coverage in some areas, extreme temperature changes, difficult access to some plots, sensor costs, need for field calibration, cloud image quality limitations, and necessity of local user training.

Minimum 20% reduction in water consumption, 15% reduction in field monitoring costs, plant stress detection with over 80% accuracy, and active management dashboard delivery.

Legal & IP

Challenge Agreement

IP Ownership Terms

Eligibility Criteria

Code of Conduct

Location Tehran.Tehran

Presented by

Presented by Ayandeh Negaran Ab va Khak

Legal & IP

Challenge Agreement

IP Ownership Terms

Eligibility Criteria

Code of Conduct

Location Tehran.Tehran

Presented by

Presented by Ayandeh Negaran Ab va Khak

Reward

500,000,000 T

Time Left

23 d

Overview

Payment Milestones

A 500,000,000 T payment pool will be released across milestones, unlocked after each stage is completed and approved.

Advance Payment

500,000,000 T

25% advance payment

Business Plan & Maps

700,000,000 T

35% after business plan and execution maps

Pilot Completion

500,000,000 T

25% after pilot implementation

Final Delivery

300,000,000 T

15% after final evaluation and financial model

Submission Requirements

Integrated smart monitoring system with satellite/drone imagery, IoT sensors, and AI algorithms for plant stress detection with minimum 80% accuracy

Minimum 20% water consumption reduction and 15% field monitoring cost reduction. Active management dashboard delivery

Connection of at least one remote sensing data source and one field/IoT data source. Periodic analytical reports for pilot area

Pilot implementation in minimum 100 hectares. Technical documentation, user manual, and system maintenance plan required

Frequently Asked Questions

Have more questions? Our support team is always ready to help.

Reducing field monitoring costs, early stress and disease detection, increasing productivity, reducing losses, and enabling scalable management at large scale.

Minimum 20% reduction in water consumption, 15% reduction in field monitoring costs, plant stress detection with over 80% accuracy, and active management dashboard delivery.