Next- Generation Farming Machineries

Fig. 1. Evolution of agriculture

Technological Innovations in Agricultural Machinery can be summarized as follows:

1. Smart Farming Machinery: Data-Driven Agriculture

Smart farming machinery is revolutionizing the agricultural sector. These machines can monitor field conditions in real time using various sensors and data collection technologies.

1. GPS and Mapping Technologies: Modern tractors are equipped with GPS-based systems. These systems allow for precise mapping of the field and enable automated planting, fertilizing, and spraying processes. GPS technology tracks every movement of the agricultural machinery, reducing material waste and increasing work efficiency.
2. IoT (Internet of Things): When farming machinery is equipped with IoT technology, it enables communication between machines and data sharing. This makes it possible to monitor the performance of the machines in real time and respond immediately in case of any malfunction.
3. Data Analysis and Artificial Intelligence: Agricultural machinery is supported by artificial intelligence systems that analyze data from sensors. These systems evaluate soil moisture, plant health, and weather conditions, thereby determining the most appropriate farming strategies.

2. Autonomous Agricultural Machinery: Minimizing Human Intervention

Autonomous agricultural machinery automates farming processes by minimizing human intervention. These machines can perform agricultural tasks more quickly and accurately.

• Autonomous Tractors: Autonomous tractors are fully automatic agricultural machines that can operate without a driver. These tractors follow a predetermined route in the field using GPS and sensor technologies, carrying out planting and harvesting operations. This technology reduces the need for labor while increasing efficiency.
• Drone Technology: The use of drones in agriculture provides the ability to monitor and analyze fields from above. Drones are used to monitor plant health, soil conditions, and pests. Additionally, drone technology is employed for precise spraying and fertilizing operations.
• Robotic Systems: Agricultural robots are used for tasks such as fruit picking and weed control. These robots work with high precision, reducing labor costs and increasing productivity.

3. Agricultural Productivity and Workforce

Next-generation farming machinery increases agricultural productivity while enabling more efficient use of the workforce.

• Precision Farming Technologies: Precision farming machines operate by considering the needs of each plant in the field. These machines prevent material waste and increase efficiency by applying fertilizer or pesticides only where needed.
• Automatic Adjustment and Optimization: Agricultural machinery can automatically adjust according to soil and plant conditions. This ensures that the machines work more accurately and effectively. For example, parameters such as soil moisture or pH levels are automatically monitored and adjusted.
• Labor Reduction: Autonomous and semi-autonomous machines reduce the need for labor. These machines, which require less human labor in agricultural tasks, allow for more efficient use of agricultural labor.

Next-generation farming machinery is transforming agriculture with technology and innovations. From smart farming machinery to autonomous systems, from energy efficiency to user-friendly designs, many developments are shaping the future of agriculture. These machines offer significant advantages in increasing agricultural productivity while reducing costs and minimizing environmental impacts. For those looking to increase efficiency and sustainability in agriculture, investing in these technologies means shaping the agriculture of the future today.

Technologies used in Next-generation farming machineries

1. laser land levelling
2. YR8D- auto-rice transplanter
3. Multi crop vacuum planter
4. Modern seed delivery systems for sustainable agriculture and environmental restoration - drone for forest seeding
5. Vertical and climate – controlled farming
6. Variable rate technology
7. IOT-Based Smart Irrigation Systems
8. Water footprint of rice cultivation under different irrigation methods.
9. Spraying through drone
10. Weed mapping
11. Laser weeding
12. Smart agriculture drone for crop spraying
13. Real-time corn yield monitoring system with DNN-based prediction model
14. Cotton harvester, Sugar cane harvester and Rice harvester

Laser land levelling is a process of smoothing the land surface from its average elevation using laser equipped with drag buckets. This practice uses tractor & soil movers that are equipped with GPS/laser guided instrumentation so that soil can moved either by cutting or filling to create desired level.

Objectives

• To determine the effect of laser guided land levelling on the slope.
• Determine the levelling parameters with the help of the Laser Land Levellers.
• Determine the accuracy of levelling in laser guided land leveller and traditional method.

Fig. 2. How a laser land leveller works

Benefits

• Saves irrigation water up to 35%
• Reduced weed in agriculture field
• Increase in the farming area up to 3.5%
• Increase  productivity up to 50%
• Reduced farm operating time by 10%
• Saves fuel/electricity used in irrigation
• Saves labor cost

YR8D- auto-rice transplanter an Auto‑Rice Transplanter is a mechanized agricultural machine that automatically plants rice seedlings in a field at uniform spacing and depth.Instead of manual transplantation (which is slow, hard work and needs many laborers), this machine does the job faster, more evenly and with less labor.

Features of auto‑rice transplanter

1. Automatic & Assisted Driving Modes
2. High‑Precision GNSS Positioning
3. Tablet‑Based Control & Monitoring
4. High‑Density Seedling Compatibility
5. Consistent Row Spacing & Depth
6. Multi‑Row Transplanting

Fig. 3. Linear mode only (left) and Auto mode (right)

Multi crop vacuum planter is a mechanized planting device that uses vacuum suction to pick individual seeds and deposit them uniformly in rows at precise spacing and depth. It is capable of handling different types and sizes of seeds-from cereals like rice, wheat, maize to pulses-without changing the main mechanism.

Precision planting mechanization for sesame

Agriculture drone

An agricultural drone is or also known as unmanned aerial vehicle used to help optimize agriculture operations, increase crop production, and monitor crop growth. Sensors and digital imaging capabilities can give farmers a richer picture of their fields.

Use of drones in agriculture

I. Remote sensing applications

1. Precision farming Drones can support precision farming by

• Soil health scanning
• Weather analysis
• Monitor crop health
• Planning irrigation schedule
• Estimate yield

2. Soil and field analysis

• They produce precise 3-D maps for early soil analysis.
• Integrated with ground geophysical data to obtain a proper soil characterization (Sona et al., 2016).
• Provides data for irrigation and nitrogen-level management.

3. Planting

• Seed dispersing software is mounted on quadcopter.
•  Seeds are precisely released at the desired location (Fortes, 2017).

4. Seedling emergence assessment

• Seedlings can be viewed.
• Identify unsuccessful germination (Sankaran et al., 2015).

5. Weed mapping

• Weed mapping can be done by multispectral drones (Stroppiana et al., 2018).
•  Identify greater weed density using vectorized weed and crop cover maps.

6. Crop health assessment

Disease surveillance FAO designed the dLocust drones to monitor the locust infestation.

7. Crop damage assessment & Crop insurance

8. Land use survey

Exact area measurements of land utilization.

9. Water management

• Drones multispectral, or thermal sensors can identify which parts of a field are dry or need improvements.
• NDVI, Crop-Water Stress Index (CWSI) and the Canopy-Chlorophyll Content Index (CCCI) can be used.
• When the plant becomes dehydrated or stressed, the leaves reflect less NIR light, as that of the visible range. This is used to detect water stress.

II. Non remote sensing applications

1. Crop spraying

• Droplets size: 50-100 um
• Spraying pesticides and crop protection (Rahul Desale, 2019).
• Highly accurate site-specification application (Meivel et al., 2016).
• Reducing cost of pesticide application and environmental pollution (Yallappa et al., 2017).
• Spray pesticides to locust control in North Western states of India.

2. Remote sampling (collecting specimens with a drone)

Collect the sample from field without walking much longer distance.

Drone for forest seeding also called aerial seeding or seed bombing is an advanced afforestation technology that uses UAVs to distribute seeds over large or inaccessible areas.

Why forest seeding drones are important: Faster Reforestation at Scale, Access to Difficult Terrain, Cost Reduction, Precision & Smart Planting and Disaster Recovery.

Vertical and climate – controlled farming

Urban agriculture and controlled – environment systems are redefining where and how we grow food. In 2025, vertical farms powered by AI climate control and hydroponic or aeroponic systems are making local, pesticide-free produce accessible even in desert regions and dense cities.

Emerging innovations:

AI- driven microclimate control: systems automatically adjust light, temperature, and humidity for each crop.

Modular container farms: Portable, stackable units make it possible to grow food year-round anywhere.

Energy-efficient LEDs: Tunable lighting mimics natural sunlight, enhancing growth cycle while conserving energy.

Circular resource use: vertical farms recycle water and nutrients, cutting waste by up to 90%

This technology not only reduces the environmental footprint but also provides a solution to global food supply chain challenges.

Variable rate technology (VRT) is a key component of precision agriculture that enables the site-specific application of agricultural inputs such as fertilizers, seeds, pesticides, and irrigation water at variable rates within a field, based on spatial variability in soil and crop conditions (Robert, 2002; Pierce & Nowak, 1999).

Application the right amount of nutrient, at the right place, at the right time is the ultimate goal of this technology.

Next generation farming machinery is applied to water management

IoT-based smart irrigation systems uses connected sensors, controllers, and communication networks to automate watering decisions. It is a core application of Internet of Things (IoT) within modern Precision Agriculture.

Fig. 4. IoT-based smart irrigation systems

Water footprint of rice cultivation refers to the total volume of freshwater used to produce rice, including irrigation, rainfall and losses. It is often analyzed using the concept of Water Footprint. Rice is a water-intensive crop and irrigation method plays a major role in determining its water footprint.

Next generation farming machinery is applied to control of weeds

Spraying through drone is a modern agricultural method in which unmanned aerial vehicles (UAVs) are used to spray pesticides, herbicides, fertilizers, or nutrients over crops.

Weed mapping is the process of identifying, locating and recording weed-infested areas in agricultural fields using modern technologies such as: Drones / UAVs, GPS and GIS systems and Remote sensors and cameras.

It is a crucial tool in precision agriculture that helps farmers understand the spatial distribution of weeds for targeted management, improving crop yield and reducing chemical use.

Fig. 5. Weed mapping procedure

Laser weeding is a precision agriculture technique where high-energy laser beams are used to destroy or inhibit weeds without applying chemical herbicides. It is considered a sustainable and environmentally friendly method for weed control.

Smart agriculture drone for crop spraying is an autonomous or semi-autonomous UAV equipped with cameras, sensors, and AI algorithms to detect crop health and weeds and perform precision spraying of pesticides, herbicides, or fertilizers.

By integrating image processing and machine learning, the drone can identify problem areas in crops and adjust spraying accordingly, minimizing chemical use and maximizing yield.

Real-time corn yield monitoring system with dnn-based prediction model is designed to estimate and predict corn crop yield continuously during the growing season or at harvest. Traditionally, yield estimation relies on manual sampling, which is labor-intensive and time-consuming. Modern systems integrate sensors, IoT and AI to automate this process.

Adding a DNN (Deep Neural Network) prediction model allows the system to predict yields based on real-time environmental and crop data rather than only historical data.

Cotton harvester

1. Cotton picker is a mechanical device that plucks cotton bolls individually from the cotton plant, leaving the plant largely intact. It is more selective and precise compared to a cotton stripper.
2. Cotton stripper is a machine that removes the entire cotton boll along with leaves and sometimes part of the plant, effectively “stripping” the cotton from the plant.

Sugar cane harvester is a machine used in farming to cut sugarcane stalks at their base, remove leaves and tops, chop the cane into smaller pieces (called billets), and load them into transport vehicles for further processing.

Rice Combined Harvester

A rice combined harvester is a specialized agricultural machine designed to harvest paddy (rice) crops efficiently by combining three main operations in one process:

1. Reaping (cutting the crop)
2. Threshing (separating grains from stalks)
3. Winnowing (cleaning the grains)

A combine harvester (including rice combine harvester) is used for harvesting a variety of grain crops, not just rice.

Common crops harvested: rice, wheat, maize, barley, oats, sorghum and millets.

How can rice combine harvester be modified to suite wheat harvest?

A rice combine harvester is a machine that can harvest both rice and wheat crops by cutting, threshing, and cleaning them 1. However, some farmers may prefer to cut and bind wheat crops separately, and use a stationary thresher machine later 2. In that case, a rice combine harvester can be modified to suit wheat harvest by removing the threshing and cleaning device, and replacing it with a binding mechanism 3. Additionally, the feeding and guidance system can be modified to vertically transfer the harvested wheat to the binding device.

This modification can improve the utilization of the rice combine harvester, and reduce the grain losses and operating costs of wheat harvest. However, some factors such as the forward speed, the bundle weight, and the bundle fall height may affect the performance and efficiency of the modified machine. Therefore, it is important to optimize these factors according to the field conditions and the farmer’s preferences.

Robotic Farming

Robotic systems equipped with AI algorithms can perform various tasks such as planting seeds, applying fertilizers and pesticides, and harvesting crops. These robots use sensors and computer vision to navigate fields, identify crops and weeds, and perform tasks with precision.

Types & Advancement of Agri-Robotics