<div>Background: Yellow pepper production is the major farming activities of women in Nsukka senatorial zone of Enugu state of Nigeria. The main sources of irrigation for this group of farmers are tanks and under-ground tanks that are artificially supplied with water in their different farms, since natural sources of water are not always available. These women mostly use their buckets or other containers to fetch water from tanks. They continually monitor the water level of their tanks in all their farms to know the best time to refill those tanks and also, they irrigate their crops manually. With the continuous demand of this variety of pepper, this current approach is quite challenging, not sustainable and highly labour intensive. Hence, there is an urgent need to boost production and address those challenges and difficulties associated with the current irrigation method through Internet of Things and other innovative techniques. The aim of this paper is to use a smart system to monitor and control soil moisture, temperature and water level in the tank. The paper equally aims at detecting the location of the farm where tank that is to be refilled is placed.&nbsp; 
 
Methods: Simulation and experimental methodology was employed in this research. The components of the proposed system include sensors, GSM, GPS, water pumps and microcontroller. Ultrasonic sensor monitors the water level in the tank, moisture and temperature sensors monitor the soil moisture and temperature, water pump sprinkles water on the crops, GPS provides the location of the tank, GSM sends message when the need arises while the microcontroller takes decision and coordinates the functioning of the entire system. 
 
Result: The research produced a system prototype that monitors and controls the usage of water on yellow pepper crops and refilling of water tank in the farm.</div>

Smart Irrigation for Yellow Pepper Production using GPS and GSM Technologies

Background: In response to global challenges like increasing food demand, climate changeand resource scarcity, there is a critical need for innovative agricultural methods. This study centers on Smart Farming and Precision Agriculture, which integrate technologies such as the Internet of Things (IoT), artificial intelligence (AI), roboticsand data analytics. These technologies aim to optimize resource use, improve crop productivityand reduce environmental impact. Precision management, which involves tailoring farm inputs to specific field conditions, is central to this approach and is essential for promoting sustainable agriculture. 
 
Methods: This research was conducted over 2 years and 6 months at Amity University Uttar Pradesh, focusing on banana cultivation. The IoT-based system includes an Arduino UNO board, a SIM900 GSM module for data transmissionand a suite of sensors-soil moisture, temperature, humidity, PIR, NPK, pH and raindrop sensors. This configuration enables continuous monitoring and real-time data collection, allowing for informed decisions in farm management. Data is transmitted to a cloud-based platform for aggregation and analysis, enabling timely adjustments in irrigation, fertilizationand crop care based on real-time environmental and soil data. 
 
Result: The implementation of this smart farming system led to significant improvements in resource efficiency and crop monitoring. Water usage was reduced by approximately 25%, while fertilizer application decreased by around 30%, maintaining optimal soil pH levels of 5.5-6.5. These adjustments contributed to a 20% increase in crop yield over traditional methods. Remote monitoring allowed for prompt interventions, highlighting the system&rsquo;s potential for driving sustainable agriculture and addressing food demand challenges through IoT-driven solutions.

Enhancing Agricultural Efficiency Through Smart Farming and Internet of Things Enabled Precision Agriculture

<div>Background: Climate change has become a major challenge in cultivation of chickpea and productivity. Negative impacts of climate change are likely to result from the effects of high temperature, low temperature, drought and excessive moisture and these factors affect crop yield ultimately. 
 
Methods: Keeping in view for quantifying the effects an experiment was laid out in split plot design. The experiment with three dates of sowing i.e.&nbsp;12th&nbsp;December 2018 (D1), 22nd&nbsp;December 2019 (D2) and 2nd&nbsp;January 2019 (D3) as main plot treatments and the four microclimatic regimes viz. open field (T1), Open roof (T2), perforated roof (T3) and closed or packed (T4) by 100 GSM plastic film as sub plot treatments was laid to analyse the impact of temperature variation. 
 
Result: The major finding of the study is that the chickpea crop sown on 12th Dec. (D1) found highest grain yield (1200 kg ha-1) as compared to 22nd&nbsp;Dec. (845 kg ha-1) and 2nd Jan. (638 kg ha-1). This may be mainly attributed to congenial weather during the entire growing period. By studying the role of weather variables on chickpea in terms of seed yield, it is noticed that best performance of Packed subset (T4) i.e. 1044 kg ha-1 was observed in all dates of sowing followed by Perforated (T3) i.e. 955 kg ha-1, Open roof (T2) i.e. 813 kg ha-1 and Open field (T1) i.e.&nbsp;765 kg ha-1.</div>

Smart Irrigation for Yellow Pepper Production using GPS and GSM Technologies

Enhancing Agricultural Efficiency Through Smart Farming and Internet of Things Enabled Precision Agriculture

Effect of Varying Temperature by Covered Plastic Film on Growth and Development of Chickpea