The primary users facing this problem are farmers, especially those in rural areas who rely on timely crop monitoring and pest/disease identification but lack advanced tools. - Farmers face multiple challenges such as: Early detection of crop diseases and pest attacks is difficult due to manual inspection. Damage caused by Nilgai (neelgay) and other wild animals who enter the fields and destroy crops, especially during night hours. Theft of valuable crops like Afeem (opium poppy) and other high-value plants, which usually happens at night or when the farmer is away. Lack of a real-time monitoring system that can alert farmers about diseases, animal intrusion, or suspicious human activity. The root challenge is the absence of an automated, computer-vision based monitoring system that can continuously safeguard the crops and assist farmers in timely decision-making.

Challenge:

Problem: Farmers face multiple challenges such as: Early detection of crop diseases and pest attacks is difficult due to manual inspection. Damage caused by Nilgai (neelgay) and other wild animals who enter the fields and destroy crops, especially during night hours. Theft of valuable crops like Afeem (opium poppy) and other high-value plants, which usually happens at night or when the farmer is away. Lack of a real-time monitoring system that can alert farmers about diseases, animal intrusion, or suspicious human activity. The root challenge is the absence of an automated, computer-vision based monitoring system that can continuously safeguard the crops and assist farmers in timely decision-making. Who is affected: The primary users facing this problem are farmers, especially those in rural areas who rely on timely crop monitoring and pest/disease identification but lack advanced tools. Expected Benefit: If this problem is solved using a computer vision–based device: Farmers will receive instant alerts about diseases, pests, Nilgai intrusion, or human movement in the field. It will help them reduce crop damage from animals and prevent theft of valuable crops. Farmers can take quick action, ensuring safety and protection of their fields. Misuse of pesticides will reduce, and crop yield will increase. Overall, it will support smart farming, lower losses, and improve productivity.

Objective:

If this problem is solved using a computer vision–based device: Farmers will receive instant alerts about diseases, pests, Nilgai intrusion, or human movement in the field. It will help them reduce crop damage from animals and prevent theft of valuable crops. Farmers can take quick action, ensuring safety and protection of their fields. Misuse of pesticides will reduce, and crop yield will increase. Overall, it will support smart farming, lower losses, and improve productivity.

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1 review | You are in Phase 4 of 7

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