Smart Orchard Monitoring and Management System Using AI, IoT, and Remote Sensing - Pilot Implementation

By Ayandeh Negaran Ab va Khak

Smart Orchard Monitoring and Management System Using AI, IoT, and Remote Sensing - Pilot Implementation

Pilot implementation of smart orchard monitoring using AI, IoT, and satellite imagery

Reward1,000,000,000 T

Time left23 d

StatusOpen

AgriTechArtificial IntelligenceData EngineeringIoT & Embedded

1 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 focuses on pilot implementation of an integrated system based on satellite imagery, IoT sensors, and AI algorithms for monitoring plant health, soil moisture, pests, and productivity in selected orchard sites.

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 1,000,000,000 T payment pool will be released across milestones, unlocked after each stage is completed and approved.

Advance Payment

300,000,000 T

30% advance payment

Dashboard & Data

300,000,000 T

30% after dashboard prototype and data connection

Field Pilot

250,000,000 T

25% after field pilot implementation

Final Delivery

150,000,000 T

15% after final delivery, training, and performance confirmation

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.

Monitoring Accuracy

30%

Ease of Use

25%

Maintenance Cost

25%

Operational Effectiveness

20%

Submission Requirements

Operational pilot system with management dashboard, analysis algorithm, and cost reduction/productivity increase report
Dashboard usable by employer, connection of at least one remote sensing and one field/IoT data source, plant stress detection algorithm with minimum 80% accuracy
Periodic analytical reports for pilot area, technical documentation, user manual, and system maintenance plan
Field pilot implementation with system performance confirmation by employer in real conditions

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, and rapid decision-making.

Delayed and imprecise decision-making, non-optimized water and input consumption, reduced yield, decreased product quality, and increased management costs.

Poor telecommunications coverage, extreme temperature changes, difficult plot access, sensor costs, field calibration needs, cloud image quality limitations, and local user training requirements.

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

6 to 12 months for equipment installation, calibration, one growing season monitoring, and system accuracy evaluation.

Recent Activity

New submission from MILAD FALLAH

Aug 25

New submission from MILAD FALLAH

Jul 19

Legal & IP

Challenge Agreement

IP Ownership Terms

Eligibility Criteria

Code of Conduct

Location Tehran.Tehran

Presented by

Presented by Ayandeh Negaran Ab va Khak

Recent Activity

New submission from MILAD FALLAH

Aug 25

New submission from MILAD FALLAH

Jul 19

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

1,000,000,000 T

Time Left

23 d

Overview

Payment Milestones

A 1,000,000,000 T payment pool will be released across milestones, unlocked after each stage is completed and approved.

Advance Payment

300,000,000 T

30% advance payment

Dashboard & Data

300,000,000 T

30% after dashboard prototype and data connection

Field Pilot

250,000,000 T

25% after field pilot implementation

Final Delivery

150,000,000 T

15% after final delivery, training, and performance confirmation

Submission Requirements

Operational pilot system with management dashboard, analysis algorithm, and cost reduction/productivity increase report

Dashboard usable by employer, connection of at least one remote sensing and one field/IoT data source, plant stress detection algorithm with minimum 80% accuracy

Periodic analytical reports for pilot area, technical documentation, user manual, and system maintenance plan

Field pilot implementation with system performance confirmation by employer in real conditions

Frequently Asked Questions

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

Delayed and imprecise decision-making, non-optimized water and input consumption, reduced yield, decreased product quality, and increased management costs.

Poor telecommunications coverage, extreme temperature changes, difficult plot access, sensor costs, field calibration needs, cloud image quality limitations, and local user training requirements.

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

6 to 12 months for equipment installation, calibration, one growing season monitoring, and system accuracy evaluation.